What is MAI-Voice (preview)?

Note

This feature is currently in public preview. This preview is provided without a service-level agreement, and isn't recommended for production workloads. Certain features might not be supported or might have constrained capabilities. For more information, see Supplemental Terms of Use for Microsoft Azure Previews.

MAI-Voice is a family of text-to-speech models available through Azure Speech in Foundry Tools in public preview. Built on Microsoft's in-house speech foundation models, MAI-Voice models produce expressive, natural speech output with consistent voice persona quality.

Speech offers the following MAI-Voice models:

Model	Voice Count	Key Characteristics	Best For
MAI-Voice-2-Flash	Prebuilt voices across 15+ languages	Ultra-fast low-latency, emotionally rich, highly expressive, multilingual, supports 15 languages and 18 locales, instant voice cloning (gated), fine-grained emotion control via SSML	Real-time voice agents and assistants, low-latency call center/IVR flows, multilingual interactive experiences
MAI-Voice-2	Prebuilt voices across 15+ languages	Emotionally rich, highly expressive, high-fidelity, multilingual, supports 15 languages and 18 locales, instant voice cloning (gated), long-form generation with speaker consistency, fine-grained emotion control via SSML	Expressive long-form content, educational content, Audiobooks/Podcasts, Voice Overs

Model details

MAI-Voice-2-Flash

MAI‑Voice‑2‑Flash is a text‑to‑speech model built for fast, low‑latency generation. It produces high‑fidelity, natural, and expressive speech across 15 languages and supports gated instant voice cloning, all while being optimized for real‑time responsiveness. Its human‑like intonation, rhythm, and emotional nuance make it ideal for voice agents, assistants, and other interactive scenarios where latency and cost are critical.

You can integrate with MAI-Voice-2-Flash using the Azure Speech SDK via SSML, and also via Voice Live.

MAI-Voice-2

MAI‑Voice‑2 is our highest‑fidelity, most expressive text‑to‑speech model, delivering rich, natural speech across more than 15 languages. It extends the MAI‑Voice family with broad multilingual coverage, gated instant voice cloning, and strong long‑form generation capabilities. With its detailed prosody, nuanced expressiveness, and studio‑grade audio quality, MAI‑Voice‑2 is ideal for experiences where maximum voice quality and fidelity are required - long‑form narration, brand‑defining audio etc.

Key features

MAI-Voice-2-Flash

Key features	Description
Ultra-fast low-latency synthesis	Built for real-time text-to-speech with very low latency, suitable for interactive voice scenarios.
High-fidelity natural synthesis	Produces natural, expressive, emotionally rich, and high-clarity voice output with human-like rhythm and intonation.
Multilingual support	Supports synthesis across 15 languages and 18 locales.
Emotion and style control	Developers can influence speaking style by using SSML with mstts:express-as and style, enabling control over emotions such as joy, excitement, empathy, and more.
Voice prompting with instant cloning (gated)	Matches a consented reference voice from a short audio clip (5-60 seconds) without additional training.
Voice library	Includes licensed curated voices for 15+ languages that work out of the box for rapid deployment.
Real-time agent optimization	Optimized for voice agents, assistants, IVR, and call-center interactions where responsiveness is critical.

MAI-Voice-2

Key features	Description
High-fidelity natural synthesis	Produces natural, expressive, emotionally rich, and high-clarity voice output with human-like rhythm and intonation.
Multilingual support	Supports synthesis across 15 languages and 18 locales.
Emotion and style control	Developers can influence speaking style by using SSML with mstts:express-as and style, enabling control over emotions such as joy, excitement, empathy, and more.
Voice prompting with instant cloning (gated)	Matches a consented reference voice from a short audio clip (5-60 seconds) without additional training.
Voice library	Includes licensed curated voices for 15+ languages that work out of the box for rapid deployment.
High fidelity audio	The model produces high-quality speech with natural prosody and clarity suitable for production-grade applications.
Long-form generation	Optimized for long-form narration with stable persona quality and speaker consistency across extended content.
Out-of-scope note	The model prioritizes naturalness and expressivity over latency-critical scenarios.

Prerequisites

To use MAI related models, complete the following steps:

• An Azure account. Create one for free.
• A Speech resource in a region that supports MAI models (region support).
• For voice prompting, apply for limited access approval and complete consent safeguards.

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SSML examples

MAI-Voice-2-Flash

The examples use the following voices.

Voice ID	Gender
en-us-Harper:MAI-Voice-2-Flash	Female
en-us-Ethan:MAI-Voice-2-Flash	Male

Basic SSML Example (Harper):

<speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis' xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'>
  <voice xml:lang='en-US' name='en-US-Harper:MAI-Voice-2-Flash'>
    hello world, it's very great
  </voice>
</speak>

Basic SSML Example (Ethan):

<speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis' xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'>
  <voice xml:lang='en-US' name='en-US-Ethan:MAI-Voice-2-Flash'>
    hello world, it's very great, hello world, it's very great?
  </voice>
</speak>

Expressive Control with SSML mstts:express-as

<speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis' xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'>
  <voice xml:lang='en-US' name='en-US-Ethan:MAI-Voice-2-Flash'>
    <mstts:express-as style="excited">
       hello world, it's very great, hello world, it's very great?
    </mstts:express-as>
  </voice>
</speak>

MAI-Voice-2

Basic multilingual SSML

The following SSML synthesizes a greeting in Spanish (Mexico) by using es-MX-Valeria:MAI-Voice-2.

<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis" xmlns:mstts="http://www.w3.org/2001/mstts" xml:lang="es-MX">
  <voice name="es-MX-Valeria:MAI-Voice-2">
    Hola, esta es una muestra de MAI Voice 2.
  </voice>
</speak>

Expressive Control with SSML mstts:express-as

MAI-Voice-2 supports expressive styles by using style and styledegree attributes for fine-grained control:

<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis" xmlns:mstts="http://www.w3.org/2001/mstts" xml:lang="en-US">
  <voice name="en-US-Harper:MAI-Voice-2">
    <mstts:express-as style="happiness" styledegree="1.2">
      Welcome to Microsoft Build. MAI Voice 2 supports multilingual expressive synthesis.
    </mstts:express-as>
  </voice>
</speak>

Sample code

The following Python example demonstrates how to synthesize SSML to an MP3 audio file by using the Azure Speech SDK:

# call Azure speech SDK to synthesize a SSML into mp3 audio file

import os
import time
import azure.cognitiveservices.speech as speechsdk

speech_key = os.environ.get('SUBSCRIPTION_SPEECH_KEY')
service_region = os.environ.get('SUBSCRIPTION_SPEECH_REGION')

# [generate]() audio with Azure TTS HD voices
def GenerateAudio(ssml, outaudio, development=False):
    # start time
    st = time.time()

    if development:
        print("Using development subscription key and endpoint.")
        # use development subscription key and endpoint
        # speech_config = speechsdk.SpeechConfig(subscription=os.getenv("SUBSCRIPTION_KEY_DEV"), region=os.getenv("SERVICE_REGION_DEV"))
        speech_config = speechsdk.SpeechConfig(
            subscription=os.getenv("SUBSCRIPTION_KEY_DEV"),
            endpoint="https://dev.tts-frontend.speech-test.microsoft.com/cognitiveservices/v1"
        )
    else:
        print("Using production subscription key and region.")
        speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)

    # speech_config = speechsdk.SpeechConfig(subscription=os.getenv("SUBSCRIPTION_KEY_DEV"), endpoint="https://dev.tts-frontend.speech-test.microsoft.com/cognitiveservices/v1")

    # Creates an audio configuration that points to an audio file.
    audio_output = speechsdk.audio.AudioOutputConfig(filename=outaudio)

    # set output format
    speech_config.set_speech_synthesis_output_format(
        speechsdk.SpeechSynthesisOutputFormat.Audio24Khz160KBitRateMonoMp3
    )

    # Creates a speech synthesizer using the Azure Speech Service.
    speech_synthesizer = speechsdk.SpeechSynthesizer(
        speech_config=speech_config,
        audio_config=audio_output
    )

    # Synthesizes the received text to speech.
    result = speech_synthesizer.speak_ssml_async(ssml).get()

    if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
        print("Speech synthesis was successful. Audio was written to '{}'".format(outaudio))
    elif result.reason == speechsdk.ResultReason.Canceled:
        cancellation_details = result.cancellation_details
        print("Speech synthesis canceled: {}".format(cancellation_details.reason))
        if cancellation_details.reason == speechsdk.CancellationReason.Error:
            if cancellation_details.error_details:
                print("Error details: {}".format(cancellation_details.error_details))
        print("Did you update the subscription info?")

    et = time.time()
    print("Time taken for synthesis: {:.2f} seconds".format(et - st))


if __name__ == "__main__":
    ssml = """
<speak
version='1.0' xmlns='http://www.w3.org/2001/10/synthesis'
xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'><voice
xml:lang='en-US' name='en-US-Ethan:MAI-Voice-2-Flash'>hello world, it's very
great, hello world, it's very great?</voice></speak>
    """

    outaudio = "Ethan-mai.mp3"
    GenerateAudio(ssml, outaudio, development=False)

    ssml = """
<speak
version='1.0' xmlns='http://www.w3.org/2001/10/synthesis'
xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'><voice
xml:lang='en-US' name='en-US-Harper:MAI-Voice-2-Flash'>hello world, it's
very great, hello world, it's very great?</voice></speak>
"""

    outaudio = "Harper-mai.mp3"
    GenerateAudio(ssml, outaudio, development=False)

Custom voice - Personal Voice/Instant Voice Cloning (gated access)

Developers can create a custom voice in Microsoft Foundry across all supported languages by using just a short reference clip - no retraining or fine-tuning required. With only a few seconds of audio (recommended: 5-60 seconds), MAI-Voice-2 generates high-quality speech that matches the speaker's identity, making it easy for companies to bring their own brand voice into products without maintaining a separate voice model.

All MAI-Voice models support Instant Voice Cloning. Only authorized, licensed voices can be synthesized in production. No unlicensed voice cloning is possible. To gain access to this feature

1. Apply for gated access through Azure AI Custom Neural Voice and Custom Avatar Limited Access Review.
2. Once approved, access personal voice APIs at cognitive-services-speech-sdk/samples/custom-voice.
3. Upload audio consent and prompt to create a personal voice.
4. Synthesize given text by using the created voice and MAI related models with the following SSML (example below with 'MAI-voice-2') :

<speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis' xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'>
  <voice name='MAI-voice-2'>
    <mstts:ttsembedding speakerProfileId='your speaker profile ID here'>
      I'm happy to hear that you find me amazing and that I have made your trip planning easier and more fun.
    </mstts:ttsembedding>
  </voice>
</speak>

Prebuilt voices

MAI-Voice-2

MAI-Voice-2 provides locale-specific prebuilt voices across multiple languages.

Voice Name (ShortName)	Locale	Language	Gender	Supported Styles
de-DE-Klaus:MAI-Voice-2	de-DE	German (Germany)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
de-DE-Mia:MAI-Voice-2	de-DE	German (Germany)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
en-AU-Lisa:MAI-Voice-2	en-AU	English (Australia)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
en-US-Ethan:MAI-Voice-2	en-US	English (United States)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
en-US-Grant:MAI-Voice-2	en-US	English (United States)	Male	—
en-US-Harper:MAI-Voice-2	en-US	English (United States)	Female	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, shouting, softvoice, whispering
en-US-Iris:MAI-Voice-2	en-US	English (United States)	Female	—
en-US-Jasper:MAI-Voice-2	en-US	English (United States)	Male	—
en-US-Olivia:MAI-Voice-2	en-US	English (United States)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
es-ES-Marta:MAI-Voice-2	es-ES	Spanish (Spain)	Female	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
es-MX-Alejo:MAI-Voice-2	es-MX	Spanish (Mexico)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
es-MX-Valeria:MAI-Voice-2	es-MX	Spanish (Mexico)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
fr-FR-Marc:MAI-Voice-2	fr-FR	French (France)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
fr-FR-Soleil:MAI-Voice-2	fr-FR	French (France)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hi-IN-Arjun:MAI-Voice-2	hi-IN	Hindi (India)	Male	angry, confused, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, sad, surprised
hi-IN-Dhruv:MAI-Voice-2	hi-IN	Hindi (India)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hi-IN-Kavya:MAI-Voice-2	hi-IN	Hindi (India)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hi-IN-Priya:MAI-Voice-2	hi-IN	Hindi (India)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hu-HU-Bence:MAI-Voice-2	hu-HU	Hungarian (Hungary)	Male	—
hu-HU-Levente:MAI-Voice-2	hu-HU	Hungarian (Hungary)	Male	—
hu-HU-Lilla:MAI-Voice-2	hu-HU	Hungarian (Hungary)	Female	—
hu-HU-Réka:MAI-Voice-2	hu-HU	Hungarian (Hungary)	Female	—
it-IT-Luca:MAI-Voice-2	it-IT	Italian (Italy)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
it-IT-Rosa:MAI-Voice-2	it-IT	Italian (Italy)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
ko-KR-Hana:MAI-Voice-2	ko-KR	Korean (Korea)	Female	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
ko-KR-Junho:MAI-Voice-2	ko-KR	Korean (Korea)	Male	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, relieved, sad, softvoice
nl-NL-Fleur:MAI-Voice-2	nl-NL	Dutch (Netherlands)	Female	—
nl-NL-Sander:MAI-Voice-2	nl-NL	Dutch (Netherlands)	Male	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
pt-BR-Caio:MAI-Voice-2	pt-BR	Portuguese (Brazil)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
pt-BR-Luana:MAI-Voice-2	pt-BR	Portuguese (Brazil)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
pt-BR-Pedro:MAI-Voice-2	pt-BR	Portuguese (Brazil)	Male	confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
pt-BR-Rafael:MAI-Voice-2	pt-BR	Portuguese (Brazil)	Male	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
pt-PT-Rui:MAI-Voice-2	pt-PT	Portuguese (Portugal)	Male	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
ro-RO-Andrei:MAI-Voice-2	ro-RO	Romanian (Romania)	Male	—
ro-RO-Elena:MAI-Voice-2	ro-RO	Romanian (Romania)	Female	—
ro-RO-Ioana:MAI-Voice-2	ro-RO	Romanian (Romania)	Female	—
ro-RO-Radu:MAI-Voice-2	ro-RO	Romanian (Romania)	Male	—
ru-RU-Lev:MAI-Voice-2	ru-RU	Russian (Russia)	Male	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
ru-RU-Masha:MAI-Voice-2	ru-RU	Russian (Russia)	Female	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
th-TH-Krit:MAI-Voice-2	th-TH	Thai (Thailand)	Male	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
th-TH-Nattapong:MAI-Voice-2	th-TH	Thai (Thailand)	Male	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
tr-TR-Aydin:MAI-Voice-2	tr-TR	Turkish (Turkey)	Male	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
tr-TR-Elif:MAI-Voice-2	tr-TR	Turkish (Turkey)	Female	adventurous, caring, empathy, curious, encouraging, excited, friendly, cheerful, nostalgic, reflective, sad, disappointed, serious
zh-CN-Bo:MAI-Voice-2	zh-CN	Chinese (Mandarin, Simplified)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
zh-CN-Lan:MAI-Voice-2	zh-CN	Chinese (Mandarin, Simplified)	Female	angry, confused, disgusted, embarrassed, excited, fearful, happy, joyful, sad, surprised
zh-CN-Mei:MAI-Voice-2	zh-CN	Chinese (Mandarin, Simplified)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering

Note

The voices listed in the preceding table are the currently published MAI-Voice-2 prebuilt voices. The model card indicates support across 10+ languages. Microsoft adds more locales and voices as they become generally available.

MAI-Voice-2-Flash

Voice Name (ShortName)	Locale	Language	Gender	Supported Styles
de-DE-Klaus:MAI-Voice-2-Flash	de-DE	German (Germany)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
de-DE-Mia:MAI-Voice-2-Flash	de-DE	German (Germany)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
en-AU-Isla:MAI-Voice-2-Flash	en-AU	English (Australia)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
en-US-Ethan:MAI-Voice-2-Flash	en-US	English (United States)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
en-US-Harper:MAI-Voice-2-Flash	en-US	English (United States)	Female	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, shouting, softvoice, whispering
en-US-Olivia:MAI-Voice-2-Flash	en-US	English (United States)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
es-ES-Marta:MAI-Voice-2-Flash	es-ES	Spanish (Spain)	Female	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
es-MX-Alejo:MAI-Voice-2-Flash	es-MX	Spanish (Mexico)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
es-MX-Valeria:MAI-Voice-2-Flash	es-MX	Spanish (Mexico)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
fr-FR-Marc:MAI-Voice-2-Flash	fr-FR	French (France)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
fr-FR-Soleil:MAI-Voice-2-Flash	fr-FR	French (France)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hi-IN-Arjun:MAI-Voice-2-Flash	hi-IN	Hindi (India)	Male	angry, confused, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, sad, surprised
hi-IN-Dhruv:MAI-Voice-2-Flash	hi-IN	Hindi (India)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hi-IN-Kavya:MAI-Voice-2-Flash	hi-IN	Hindi (India)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hi-IN-Priya:MAI-Voice-2-Flash	hi-IN	Hindi (India)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
hu-HU-Bence:MAI-Voice-2-Flash	hu-HU	Hungarian (Hungary)	Male	—
hu-HU-Levente:MAI-Voice-2-Flash	hu-HU	Hungarian (Hungary)	Male	—
hu-HU-Lilla:MAI-Voice-2-Flash	hu-HU	Hungarian (Hungary)	Female	—
hu-HU-Réka:MAI-Voice-2-Flash	hu-HU	Hungarian (Hungary)	Female	—
it-IT-Luca:MAI-Voice-2-Flash	it-IT	Italian (Italy)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
it-IT-Rosa:MAI-Voice-2-Flash	it-IT	Italian (Italy)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
ko-KR-Haena:MAI-Voice-2-Flash	ko-KR	Korean (Korea)	Female	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
ko-KR-Junho:MAI-Voice-2-Flash	ko-KR	Korean (Korea)	Male	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, relieved, sad, softvoice
nl-NL-Sander:MAI-Voice-2-Flash	nl-NL	Dutch (Netherlands)	Male	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
pt-BR-Caio:MAI-Voice-2-Flash	pt-BR	Portuguese (Brazil)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
pt-BR-Luana:MAI-Voice-2-Flash	pt-BR	Portuguese (Brazil)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
pt-BR-Pedro:MAI-Voice-2-Flash	pt-BR	Portuguese (Brazil)	Male	confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
pt-BR-Rafael:MAI-Voice-2-Flash	pt-BR	Portuguese (Brazil)	Male	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
pt-PT-Rui:MAI-Voice-2-Flash	pt-PT	Portuguese (Portugal)	Male	angry, confused, determined, embarrassed, excited, happy, hopeful, joyful, regretful, relieved, sad, softvoice, surprised
ro-RO-Andrei:MAI-Voice-2-Flash	ro-RO	Romanian (Romania)	Male	—
ro-RO-Elena:MAI-Voice-2-Flash	ro-RO	Romanian (Romania)	Female	—
ro-RO-Ioana:MAI-Voice-2-Flash	ro-RO	Romanian (Romania)	Female	—
ro-RO-Radu:MAI-Voice-2-Flash	ro-RO	Romanian (Romania)	Male	—
ru-RU-Lev:MAI-Voice-2-Flash	ru-RU	Russian (Russia)	Male	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
ru-RU-Masha:MAI-Voice-2-Flash	ru-RU	Russian (Russia)	Female	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
th-TH-Krit:MAI-Voice-2-Flash	th-TH	Thai (Thailand)	Male	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
th-TH-Nattapong:MAI-Voice-2-Flash	th-TH	Thai (Thailand)	Male	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
tr-TR-Aydın:MAI-Voice-2-Flash	tr-TR	Turkish (Türkiye)	Male	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
tr-TR-Elif:MAI-Voice-2-Flash	tr-TR	Turkish (Türkiye)	Female	adventurous, caringempathy, curious, encouraging, excited, friendlycheerful, nostalgic, reflective, saddisappointed, serious
zh-CN-Bo:MAI-Voice-2-Flash	zh-CN	Chinese (Mandarin, Simplified)	Male	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
zh-CN-Lan:MAI-Voice-2-Flash	zh-CN	Chinese (Mandarin, Simplified)	Female	angry, confused, disgusted, embarrassed, excited, fearful, happy, joyful, sad, surprised
zh-CN-Mei:MAI-Voice-2-Flash	zh-CN	Chinese (Mandarin, Simplified)	Female	angry, confused, determined, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, relieved, sad, shouting, softvoice, surprised, whispering
zh-CN-Wei:MAI-Voice-2-Flash	zh-CN	Chinese (Mandarin, Simplified)	Male	angry, confused, disgusted, embarrassed, excited, fearful, happy, hopeful, jealous, joyful, regretful, sad, surprised

Usage: Available for third-party developers. Microsoft holds full licensing rights for commercial use.

Use MAI-Voice models

MAI-Voice models use the same Azure Speech APIs and SDKs as other Azure neural and HD voices. Use the voice name in the name attribute of the SSML <voice> element. See the prebuilt voice tables in the preceding sections for available names.

Try a MAI-Voice voice in the Foundry portal:

1. Go to the Text to speech feature page and select Open in playground.
2. Select a MAI-Voice voice from the voice dropdown.
3. Enter sample text in the text box.
4. Select Play to hear the synthesized speech.

Send an SSML POST request to the cognitiveservices/v1 endpoint of your Speech resource. Replace YourRegion with your Speech resource region and <YourSpeechResourceKey> with your resource key.

curl -X POST \
  "https://YourRegion.tts.speech.microsoft.com/cognitiveservices/v1" \
  --header "Content-Type: application/ssml+xml" \
  --header "X-Microsoft-OutputFormat: audio-24khz-160kbitrate-mono-mp3" \
  --header "Ocp-Apim-Subscription-Key: <YourSpeechResourceKey>" \
  --data '<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis" xmlns:mstts="http://www.w3.org/2001/mstts" xml:lang="en-US">
  <voice name="en-US-Harper:MAI-Voice-2">
    Hello, this is a sample from MAI Voice.
  </voice>
</speak>' \
  --output output.mp3

Replace the voice name with any MAI-Voice voice from the prebuilt voice tables above.

The following code synthesizes speech by using the Azure Speech SDK and saves the audio to output.mp3. Replace <key> with your Speech resource key.

import azure.cognitiveservices.speech as speechsdk

speech_config = speechsdk.SpeechConfig(
    subscription="<key>", region="eastus"
)
audio_config = speechsdk.audio.AudioOutputConfig(filename="output.mp3")
speech_config.set_speech_synthesis_output_format(
    speechsdk.SpeechSynthesisOutputFormat.Audio24Khz160KBitRateMonoMp3
)
synthesizer = speechsdk.SpeechSynthesizer(
    speech_config=speech_config, audio_config=audio_config
)

ssml = """
<speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis' xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'>
  <voice name='en-US-Harper:MAI-Voice-2-Flash'>
    <mstts:express-as style="excitement">Hello world.</mstts:express-as>
  </voice>
</speak>
"""

synthesizer.speak_ssml_async(ssml).get()

On success, an output.mp3 file is saved to the current directory. Replace the voice name with any MAI-Voice voice from the prebuilt voice tables above.

Follow the text to speech quickstart. In the SSML, use a MAI-Voice voice name in the name attribute of the <voice> element. See the prebuilt voice tables above for available names.

Follow the text to speech quickstart. In the SSML, use a MAI-Voice voice name in the name attribute of the <voice> element. See the prebuilt voice tables above for available names.

Follow the text to speech quickstart. In the SSML, use a MAI-Voice voice name in the name attribute of the <voice> element. See the prebuilt voice tables above for available names.

Next steps

• Speech Synthesis Markup Language (SSML) overview
• Get started with text to speech
• High definition (HD) voices