speak-core-workflow-b

Solid

Execute Speak secondary workflow: Pronunciation Training with phoneme-level analysis. Use when implementing pronunciation drills, speech scoring, or targeted pronunciation improvement features. Trigger with phrases like "speak pronunciation training", "speak speech scoring", "speak phoneme analysis".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# Speak Core Workflow B: Pronunciation Training ## Overview Secondary workflow for Speak: detailed pronunciation training with phoneme-level analysis and adaptive practice. Uses OpenAI's speech recognition with Speak's proprietary proficiency graph to identify and drill weak phonemes. ## Prerequisites - Completed `speak-core-workflow-a` - Audio recording capability (WAV 16kHz mono) - ffmpeg installed for audio preprocessing ## Instructions ### Step 1: Pronunciation Assessment ```typescript import { SpeakClient } from '@speak/language-sdk'; const client = new SpeakClient({ apiKey: process.env.SPEAK_API_KEY!, appId: process.env.SPEAK_APP_ID!, language: 'es', }); // Assess pronunciation of a specific phrase const result = await client.assessPronunciation({ audioPath: './recordings/hola-como-estas.wav', targetText: 'Hola, como estas?', language: 'es', detailLevel: 'phoneme', }); console.log(`Overall score: ${result.score}/100`); for (const word of result.words) { const flag = word.score < 70 ? 'WEAK' : 'OK'; console.log(` [${flag}] "${word.text}": ${word.score}/100`); if (word.phonemes) { for (const p of word.phonemes.filter(p => p.score < 70)) { console.log(` Phoneme "${p.symbol}": ${p.score} — ${p.suggestion}`); } } } ``` ### Step 2: Adaptive Drill Loop ```typescript async function pronunciationDrill( client: SpeakClient, phrases: string[], language: string, targetScore: number = 80, maxAttempts: number = 3, ) { cons...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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