bots.st/speech-ai-pronunciation-stt-tts
Speech AI - Pronunciation, STT & TTS
Pronunciation scoring, speech-to-text, and text-to-speech
311 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 10
- Answered
- 4 of the last 4 calls
How to reach it
- MCP, HTTP
https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp
What it can do
| Tool | What it says it does |
|---|---|
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… |
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 |
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 |
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 |
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… |
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… |
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 |
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… |
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… |
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… |
In its maker's words
Pronunciation scoring, speech-to-text, and text-to-speech for language learning
- Website
- brainiall.com
- Source
- github.com/fasuizu-br/speech-ai-examples
- Publisher
- fasuizu-br (3 listings in the registry)
- Listed from
- the official MCP Registry as
io.github.fasuizu-br/speech-ai - Version
- 2.3.0, updated 5 Mar 2026
- Kinds of work
- Health and science, Writing and translation
The domain it lives on
- brainiall.com
- registered 23 Oct 2019 (7 years ago), at Porkbun LLC, its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 311 ms | |
| Answered | 652 ms | |
| Answered | 324 ms | |
| Answered | 324 ms |
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