Brainiall Pronunciation
Pronunciation assessment, phoneme scoring, speaker voice ID, audio transcription, speech synthesis.
| Endpoint | https://api.brainiall.com/mcp/pronunciation/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 14 tools · grade D (61) · pin ts_17a7aac7d3f3b64f217866c767e2b140 · protocol 2025-06-18 |
| First / last listed | 2026-10-28 03:28 UTC / 2026-10-28 03:28 UTC |
| Grade over time | 2026-10-28: D (61), 14 tools |
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Tools: assess_pronunciation check_pronunciation_service get_phoneme_inventory transcribe_audio check_stt_service voice_id_enroll voice_id_verify voice_id_identify voice_id_list_speakers 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 Brainiall Pronunciation 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 Brainiall Speech service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the speech-recognition model is loaded
- version (str): API version params: none |
voice_id_enroll | Enroll a voiceprint for a speaker from ~2s of clear speech. Repeat with more clips to strengthen it.
Only an irreversible embedding is stored — never the raw audio.
Returns:
dict with keys: speaker_id (str), n_samples (int), enrolled (bool). params: audio*, speaker_id*, group_id* |
voice_id_verify | 1:1 verification — is this clip the enrolled speaker?
Returns:
dict with keys: similarity (float), match (bool), threshold (float). params: audio*, speaker_id*, group_id*, threshold |
voice_id_identify | 1:N identification — rank everyone enrolled in the group against this clip.
Returns:
dict with keys: candidates (list of {speaker_id, similarity}, best first). params: audio*, group_id*, top_k |
voice_id_list_speakers | List the speakers enrolled in a group.
Returns:
dict with keys: speakers (list of {speaker_id, n_samples, ...}). params: group_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, 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 Brainiall Voice synthesis 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 Brainiall Voice service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the synthesis model is loaded
- version (str): API version params: none |
transcribe_audio_pro | Transcribe audio with Brainiall Speech Pro — multilingual transcription.
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 omitt params: audio_base64*, language, diarize |
check_whisper_service | Check if the Brainiall Speech Pro service is healthy and ready.
Returns:
dict with keys:
- status (str): 'healthy' or error state
- modelLoaded (bool): Whether the Brainiall Speech Pro engine is loaded
- diarizeLoaded (bool): Whether the diarization pipeline is loaded
- version (str): API version
- modelName (str): Engine version identifier params: none |
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