Speech AI - Pronunciation, STT & TTS
Pronunciation scoring, speech-to-text, and text-to-speech for language learning
| Endpoint | https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp (streamable-http) |
|---|---|
| Registry version | 2.3.0 |
| Now | 10 tools · grade D (58) · pin ts_154a06844440e5e43fef2fdb42b8ddab · protocol 2025-06-18 |
| First / last listed | 2026-11-07 02:16 UTC / 2026-11-07 02:16 UTC |
| Grade over time | 2026-11-07: D (58), 10 tools |
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Tools: assess_pronunciation check_pronunciation_service get_phoneme_inventory transcribe_audio check_stt_service synthesize_speech list_tts_voices check_tts_service transcribe_audio_pro check_whisper_service
assess_pronunciation | Assess English pronunciation quality from audio.
Scores pronunciation at four levels: overall, sentence, word, and phoneme.
Each score is 0-100. Phonemes are returned in both IPA and ARPAbet notation.
Sub-300ms inference latency.
Args:
audio_base64: Base64-encoded audio data. Supports WAV, MP3, OGG, and WebM formats.
text: The reference English text that the speaker was expected to read params: audio_base64*, text*, audio_format |
check_pronunciation_service | Check if the pronunciation assessment service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the scoring model is loaded
- version (str): API version params: none |
get_phoneme_inventory | Get the full phoneme inventory supported by the pronunciation scorer.
Returns a list of all English phonemes the engine can assess, including
ARPAbet symbol, IPA equivalent, example word, and phoneme category
(vowel, consonant, diphthong).
Returns:
list of dicts, each with keys:
- arpabet (str): ARPAbet symbol (e.g. 'AA', 'TH')
- ipa (str): IPA notation
- example (str params: none |
transcribe_audio | Transcribe audio to text with word-level timestamps.
Converts spoken English audio into text with optional word-level timestamps
and per-word confidence scores.
Args:
audio_base64: Base64-encoded audio data (WAV, MP3, OGG, FLAC, WebM).
audio_format: Audio format hint. Auto-detected from magic bytes if omitted.
include_timestamps: Whether to include word-level timing (default: true).
params: audio_base64*, audio_format, include_timestamps |
check_stt_service | Check if the speech-to-text service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the STT model is loaded
- version (str): API version params: none |
synthesize_speech | Generate natural speech audio from English text.
Produces high-quality speech with 12 English voices.
Returns base64-encoded WAV audio (16-bit PCM, 24kHz mono) along with metadata.
Available voices:
- af_heart (default), af_bella, af_nicole, af_sarah, af_sky (American female)
- am_adam, am_michael (American male)
- bf_emma, bf_isabella (British female)
- bm_george, bm_lewis, bm_daniel (British m params: text*, voice, speed |
list_tts_voices | List all available text-to-speech voices with metadata.
Returns:
dict with keys:
- voices (list): Available voices, each with id, name, gender, accent, grade
- defaultVoice (str): Default voice ID params: none |
check_tts_service | Check if the text-to-speech service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the TTS model is loaded
- version (str): API version params: none |
transcribe_audio_pro | Transcribe audio with Whisper Large V3 Turbo — multilingual STT.
Supports 99 languages with automatic language detection, word-level
timestamps, per-word confidence scores, and optional speaker diarization
(identifies who spoke each word). Best-in-class WER (~2%).
Args:
audio_base64: Base64-encoded audio (WAV, MP3, OGG, FLAC, WebM).
language: Language code. Auto-detected if omitted. Supp params: audio_base64*, language, diarize |
check_whisper_service | Check if the Whisper STT Pro service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the Whisper model is loaded
- diarizeLoaded (bool): Whether the diarization pipeline is loaded
- version (str): API version
- modelName (str): Whisper model name (e.g. 'large-v3-turbo') params: none |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.