添加MoYoYo语音模型“白岩松”及相关文件

重构`is_task_interrupted`方法以检查语音任务中断状态

Add `has_no_words` check to skip punctuation-only TTS tasks and enhance debug logs

Refactor SpeechMonitor to use active audio frame duration instead of count

Add TTS generation error handling and `is_task_interrupted` helper function

Optimize VAD logic by replacing `np.max(probs)` with `any(prob >= threshold)` for improved readability and efficiency.

Increase audio capture chunk size to 1024 in `capture.py` for smoother streaming

Remove `speech_monitor` dependency from `asr_worker` service definition.

Add echo cancellation and VAD toggle support in service factories and routes

Fix help text for `--disable-echo-cancellation` to clarify the default behavior is not disabled

Refactor threading in `launcher.py` to standardize worker initialization, enforce daemon mode, and improve naming consistency.

Handle overflow errors in audio capture by adding `exception_on_overflow=False` and skip processing when no data is available.

Add `--disable-echo-cancellation` CLI option and update audio pipeline to support toggling echo cancellation and VAD

Integrate `SileroVAD` into `SpeechMonitor` for optional voice activity detection. Add `_detect_speech()` method and update queue handling logic. Implement `SileroVAD` as a singleton for efficient model management.

Increase queue timeout in audio and text processing services for smoother task handling

Refactor audio processing pipeline to normalize data in `SpeechMonitor` and streamline queuing in `AudioCapture`

Update `AudioCapture` to support both PyAudio and macOS native AEC＋VAD libraries

Refactor to replace `EchoCancellingAudioCapture` with `AudioCapture` across the codebase for improved clarity and flexibility

Clean input text in MoYoYo TTS by removing punctuation for better processing

Refactor LlamaCpp initialization to simplify parameter handling and remove unused callback manager

Enable debug mode with global configuration and detailed task logging when active

Reset task ID in speech recognizer for empty transcriptions to prevent errors

Add new voice model "Doubao" to MoYoYo configuration

Update performance logging format in TTS player for improved structure and readability

Enhance launcher startup log formatting for improved readability and visual appeal

Remove commented-out performance logging code from TTS player

Add new voice model "Ellen" to MoYoYo configuration

Update MoYoYo TTS prompt text for improved relevance and clarity

Improve speech recognizer to handle empty transcriptions

Simplify system prompts for text generation in Chinese and English

Add new voice model "Juniper" to MoYoYo configuration

Standardize punctuation for system prompts in both Chinese and English text generation modules.

Enhance WebSocket handling for connection management and reliability

Add session validation checks to `player.py` and `generator.py`

Refactor WebSocket handling with connection manager

Replace `logging` with centralized `loguru`-based logger across all modules.

Refactor response generation logic in `generator.py`

Remove unused conditional logic for second answer handling in `player.py` and `generator.py`

Adjust context window allocation logic based on memory tiers in `apple_silicon.py`

Comment out unused Kokoro TTS voice configurations

Add Maple and Cove voice models to MoYoYo TTS configuration

Introduce Apple Silicon hardware optimization and dynamic LLM configuration

Update LLM response generator and system prompts

Update static file routing and root endpoint for frontend integration

Add robust lifecycle management for `audio_player` service in system routes

Standardize service lifecycle management by replacing `stop` with `exit` and introducing `is_exited` check

Remove `voice_schemas.py` and refactor schema imports for TTS and ASR modules in `__init__.py`

Refactor speech recognizer, audio capture, and system routes for improved clarity and functionality

Add pause and resume functionality to voice dialogue system

Refactor project: split `main.py` functionality into modular components under `cli`, `core`, and `config`.