Pronunciation Assessment

AI-powered English pronunciation scoring at phoneme level. 17MB model, sub-300ms, returns IPA/ARPAbet notation with per-phoneme scores.

Pronunciation Assessment

Analyze spoken language to provide immediate feedback on pronunciation accuracy and fluency. Identify specific phonetic errors to help learners improve their speaking skills in real-time. Guide users…

Quick Start

# Connect this server (installs CLI if needed)
npx -y smithery mcp add fabiosuizu/pronunciation-assessment

# Browse available tools
npx -y smithery tool list fabiosuizu/pronunciation-assessment

# Get full schema for a tool
npx -y smithery tool get fabiosuizu/pronunciation-assessment assess_pronunciation

# Call a tool
npx -y smithery tool call fabiosuizu/pronunciation-assessment assess_pronunciation '{}'

Direct MCP Connection

Endpoint: https://pronunciation-assessment--fabiosuizu.run.tools

Required config:

  • apiKey (query) — Your APIM subscription key

Tools (10)

  • assess_pronunciation — Assess English pronunciation quality from audio.
  • check_pronunciation_service — Check if the pronunciation assessment service is healthy and ready.
  • get_phoneme_inventory — Get the full phoneme inventory supported by the pronunciation scorer.
  • transcribe_audio — Transcribe audio to text with word-level timestamps.
  • check_stt_service — Check if the speech-to-text service is healthy and ready.
  • synthesize_speech — Generate natural speech audio from English text.
  • list_tts_voices — List all available text-to-speech voices with metadata.
  • check_tts_service — Check if the text-to-speech service is healthy and ready.
  • transcribe_audio_pro — Transcribe audio with Whisper Large V3 Turbo — multilingual STT.
  • check_whisper_service — Check if the Whisper STT Pro service is healthy and ready.
# Get full input/output schema for a tool
npx -y smithery tool get fabiosuizu/pronunciation-assessment <tool-name>

Resources

  • pronunciation://scoring-guide — How pronunciation scores work at each granularity level.
  • pronunciation://audio-requirements — Supported audio formats, quality requirements, and recording tips.
  • whisper://usage-guide — How to use the Whisper STT Pro multilingual transcription service.
  • pronunciation://model-info — Performance benchmarks and service characteristics.
  • pronunciation://response-schema — Full API response structure with field descriptions.
  • pronunciation://example-assessment — Real example showing how to interpret a pronunciation assessment.
  • stt://usage-guide — How to use the speech-to-text transcription service.
  • tts://usage-guide — How to use the text-to-speech synthesis service.

Prompts (3)

  • analyze_pronunciation (assessment_json) — Analyze pronunciation assessment results and provide actionable feedback.
  • create_improvement_plan (assessment_json, learner_level) — Create a structured pronunciation improvement plan based on assessment results.
  • compare_attempts (attempt1_json, attempt2_json) — Compare two pronunciation attempts of the same text to track progress.

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