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Pronunciation Assessment

from RostroDotDev

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

πŸ”₯πŸ”₯πŸ”₯βœ“ VerifiedFreeNeeds API keys

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…

Direct MCP Connection

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

Required config:

  • apiKey (query) β€” Your APIM subscription key

Tools (10)

  • assess_pronunciation β€” Assess English pronunciation quality from audio.

  • check_pronunciation_service β€” Check if the pronunciation assessment service is healthy and ready.

  • get_phoneme_inventory β€” Get the full phoneme inventory supported by the pronunciation scorer.

  • transcribe_audio β€” Transcribe audio to text with word-level timestamps.

  • check_stt_service β€” Check if the speech-to-text service is healthy and ready.

  • synthesize_speech β€” Generate natural speech audio from English text.

  • list_tts_voices β€” List all available text-to-speech voices with metadata.

  • check_tts_service β€” Check if the text-to-speech service is healthy and ready.

  • transcribe_audio_pro β€” Transcribe audio with Whisper Large V3 Turbo β€” multilingual STT.

  • check_whisper_service β€” 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 

Resources

  • pronunciation://scoring-guide β€” How pronunciation scores work at each granularity level.

  • pronunciation://audio-requirements β€” Supported audio formats, quality requirements, and recording tips.

  • whisper://usage-guide β€” How to use the Whisper STT Pro multilingual transcription service.

  • pronunciation://model-info β€” Performance benchmarks and service characteristics.

  • pronunciation://response-schema β€” Full API response structure with field descriptions.

  • pronunciation://example-assessment β€” Real example showing how to interpret a pronunciation assessment.

  • stt://usage-guide β€” How to use the speech-to-text transcription service.

  • tts://usage-guide β€” How to use the text-to-speech synthesis service.

Prompts (3)

  • analyze_pronunciation (assessment_json) β€” Analyze pronunciation assessment results and provide actionable feedback.

  • create_improvement_plan (assessment_json, learner_level) β€” Create a structured pronunciation improvement plan based on assessment results.

  • compare_attempts (attempt1_json, attempt2_json) β€” Compare two pronunciation attempts of the same text to track progress.