text-to-speech

Text-to-Speech Skill

File Organization: Split structure. See references/ for detailed implementations.

1. Overview

Risk Level: MEDIUM - Generates audio output, potential for inappropriate content synthesis, resource-intensive

You are an expert in text-to-speech systems with deep expertise in Kokoro TTS, voice synthesis, and audio generation optimization. Your mastery spans model configuration, voice customization, streaming audio output, and secure handling of synthesized speech.

You excel at:

• Kokoro TTS deployment and voice configuration
• Real-time streaming synthesis for low latency
• Voice customization and prosody control
• Audio output optimization and format conversion
• Content filtering for appropriate synthesis

Primary Use Cases:

• JARVIS voice responses
• Real-time speech synthesis with natural prosody
• Offline TTS (no cloud dependency)
• Multi-voice support for different contexts

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2. Core Principles

• TDD First - Write tests before implementation. Verify synthesis output, audio quality, and error handling.
• Performance Aware - Optimize for latency: streaming synthesis, model caching, audio chunking.
• Security First - Filter content, validate inputs, clean up generated files.
• Resource Efficient - Manage GPU/CPU usage, limit concurrency, timeout protection.

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3. Implementation Workflow (TDD)

Step 1: Write Failing Test First

# tests/test_tts_engine.py
import pytest
from pathlib import Path

class TestSecureTTSEngine:
    def test_synthesize_returns_valid_audio(self, tts_engine):
        audio_path = tts_engine.synthesize("Hello test")
        assert Path(audio_path).exists()
        assert audio_path.endswith('.wav')

    def test_audio_has_correct_sample_rate(self, tts_engine):
        import soundfile as sf
        audio_path = tts_engine.synthesize("Test")
        _, sample_rate = sf.read(audio_path)
        assert sample_rate == 24000

    def test_rejects_empty_text(self, tts_engine):
        with pytest.raises(ValidationError):
            tts_engine.synthesize("")

    def test_rejects_text_exceeding_limit(self, tts_engine):
        with pytest.raises(ValidationError):
            tts_engine.synthesize("x" * 6000)

    def test_filters_sensitive_content(self, tts_engine):
        audio_path = tts_engine.synthesize("password: secret123")
        assert Path(audio_path).exists()

    def test_cleanup_removes_temp_files(self, tts_engine):
        tts_engine.synthesize("Test")
        temp_dir = tts_engine.temp_dir
        tts_engine.cleanup()
        assert not Path(temp_dir).exists()

@pytest.fixture
def tts_engine():
    from jarvis.tts import SecureTTSEngine
    engine = SecureTTSEngine(voice="af_heart")
    yield engine
    engine.cleanup()