mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-24 16:13:54 +08:00
update:智控台添加免费流式TTS(linkerai)
This commit is contained in:
@@ -37,6 +37,7 @@ class TTSProviderBase(ABC):
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self.tts_text_queue = queue.Queue()
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self.tts_audio_queue = queue.Queue()
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self.tts_audio_first_sentence = True
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self.before_stop_play_files = []
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self.tts_text_buff = []
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self.punctuations = (
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@@ -324,6 +325,14 @@ class TTSProviderBase(ABC):
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os.remove(tts_file)
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return audio_datas
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def _process_before_stop_play_files(self):
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for tts_file, text in self.before_stop_play_files:
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if tts_file and os.path.exists(tts_file):
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audio_datas = self._process_audio_file(tts_file)
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self.tts_audio_queue.put((SentenceType.MIDDLE, audio_datas, text))
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self.before_stop_play_files.clear()
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self.tts_audio_queue.put((SentenceType.LAST, [], None))
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def _process_remaining_text(self):
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"""处理剩余的文本并生成语音
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@@ -154,7 +154,6 @@ class TTSProvider(TTSProviderBase):
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self.header = {"Authorization": f"{self.authorization}{self.access_token}"}
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self.enable_two_way = True
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self.tts_text = ""
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self.before_stop_play_files = []
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self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(
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sample_rate=16000, channels=1, frame_size_ms=60
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)
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@@ -432,14 +431,7 @@ class TTSProvider(TTSProviderBase):
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is_first_sentence = False
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elif res.optional.event == EVENT_SessionFinished:
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logger.bind(tag=TAG).debug(f"会话结束~~")
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for tts_file, text in self.before_stop_play_files:
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if tts_file and os.path.exists(tts_file):
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audio_datas = self._process_audio_file(tts_file)
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self.tts_audio_queue.put(
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(SentenceType.MIDDLE, audio_datas, text)
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)
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self.before_stop_play_files.clear()
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self.tts_audio_queue.put((SentenceType.LAST, [], None))
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self._process_before_stop_play_files()
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break
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except websockets.ConnectionClosed:
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logger.bind(tag=TAG).warning("WebSocket连接已关闭")
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@@ -1,8 +1,5 @@
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import os
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import time
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import queue
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import asyncio
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import requests
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import traceback
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import aiohttp
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from config.logger import setup_logging
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@@ -24,6 +21,7 @@ class TTSProvider(TTSProviderBase):
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self.api_url = config.get("api_url")
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self.audio_format = "pcm"
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self.before_stop_play_files = []
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self.segment_count = 0 # 添加片段计数器
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# 创建Opus编码器
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self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(
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@@ -50,7 +48,7 @@ class TTSProvider(TTSProviderBase):
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self.tts_stop_request = False
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self.processed_chars = 0
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self.tts_text_buff = []
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self.is_first_sentence = True
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self.segment_count = 0
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self.tts_audio_first_sentence = True
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self.before_stop_play_files.clear()
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elif ContentType.TEXT == message.content_type:
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@@ -60,7 +58,6 @@ class TTSProvider(TTSProviderBase):
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self.to_tts(segment_text)
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elif ContentType.FILE == message.content_type:
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self._process_remaining_text()
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logger.bind(tag=TAG).info(
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f"添加音频文件到待播放列表: {message.content_file}"
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)
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@@ -69,7 +66,8 @@ class TTSProvider(TTSProviderBase):
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)
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if message.sentence_type == SentenceType.LAST:
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self._process_remaining_text()
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# 处理剩余的文本
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self._process_remaining_text(True)
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except queue.Empty:
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continue
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@@ -78,7 +76,7 @@ class TTSProvider(TTSProviderBase):
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f"处理TTS文本失败: {str(e)}, 类型: {type(e).__name__}, 堆栈: {traceback.format_exc()}"
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)
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def _process_remaining_text(self):
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def _process_remaining_text(self, is_last=False):
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"""处理剩余的文本并生成语音
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Returns:
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@@ -89,15 +87,17 @@ class TTSProvider(TTSProviderBase):
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if remaining_text:
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segment_text = textUtils.get_string_no_punctuation_or_emoji(remaining_text)
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if segment_text:
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self.to_tts(segment_text)
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self.to_tts(segment_text, is_last)
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self.processed_chars += len(full_text)
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else:
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self._process_before_stop_play_files()
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def to_tts(self, text):
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def to_tts(self, text, is_last=False):
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try:
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max_repeat_time = 5
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text = MarkdownCleaner.clean_markdown(text)
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try:
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asyncio.run(self.text_to_speak(text, None))
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asyncio.run(self.text_to_speak(text, is_last))
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except Exception as e:
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logger.bind(tag=TAG).warning(
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f"语音生成失败{5 - max_repeat_time + 1}次: {text},错误: {e}"
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@@ -121,9 +121,9 @@ class TTSProvider(TTSProviderBase):
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# linkerai单流式TTS重写父类的方法--结束
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###################################################################################
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async def text_to_speak(self, text, _):
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async def text_to_speak(self, text, is_last):
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"""流式处理TTS音频,每句只推送一次音频列表"""
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await self._tts_request(text)
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await self._tts_request(text, is_last)
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async def close(self):
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"""资源清理"""
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@@ -131,9 +131,7 @@ class TTSProvider(TTSProviderBase):
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if hasattr(self, "opus_encoder"):
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self.opus_encoder.close()
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async def _tts_request(self, text: str) -> None:
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"""发送TTS请求"""
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start_time = time.time()
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async def _tts_request(self, text: str, is_last: bool) -> None:
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params = {
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"tts_text": text,
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"spk_id": self.voice,
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@@ -141,41 +139,89 @@ class TTSProvider(TTSProviderBase):
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"stream": "true",
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"target_sr": 16000,
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"audio_format": "pcm",
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"instruct_text": "",
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"instruct_text": "请生成一段自然流畅的语音",
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}
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headers = {
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"Authorization": f"Bearer {self.access_token}",
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"Content-Type": "application/json",
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}
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# 一帧 PCM 所需字节数:60 ms × 16 kHz × 1 ch × 2 B = 1 920
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frame_bytes = int(
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self.opus_encoder.sample_rate
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* self.opus_encoder.channels # 1
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* self.opus_encoder.frame_size_ms
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/ 1000
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* 2
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) # 16-bit = 2 bytes
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(
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self.api_url, params=params, headers=headers, timeout=10
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) as response:
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if response.status != 200:
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logger.error(
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f"TTS请求失败: {response.status}, {await response.text()}"
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)
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# 推送空LAST,防止播放端卡死
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) as resp:
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if resp.status != 200:
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logger.error(f"TTS请求失败: {resp.status}, {await resp.text()}")
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self.tts_audio_queue.put((SentenceType.LAST, [], None))
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return
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logger.info(
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f"TTS请求成功: {text}, 耗时: {time.time() - start_time}秒"
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)
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self.pcm_buffer.clear()
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opus_datas_cache = []
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# 流式处理音频数据
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async for chunk in response.content.iter_chunks():
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if chunk[0]: # 确保数据不为空
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opus_data = self.opus_encoder.encode_pcm_to_opus(
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chunk[0], end_of_stream=True
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# 兼容 iter_chunked / iter_chunks / iter_any
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async for chunk in resp.content.iter_any():
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data = chunk[0] if isinstance(chunk, (list, tuple)) else chunk
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if not data:
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continue
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# 拼到 buffer
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self.pcm_buffer.extend(data)
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# 够一帧就编码
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while len(self.pcm_buffer) >= frame_bytes:
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frame = bytes(self.pcm_buffer[:frame_bytes])
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del self.pcm_buffer[:frame_bytes]
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opus = self.opus_encoder.encode_pcm_to_opus(
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frame, end_of_stream=False
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)
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if opus_data:
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if opus:
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if self.segment_count < 10: # 前10个片段直接发送
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self.tts_audio_queue.put(
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(SentenceType.MIDDLE, opus, text)
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)
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self.segment_count += 1
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else:
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opus_datas_cache.extend(opus)
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# flush 剩余不足一帧的数据
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if self.pcm_buffer:
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opus = self.opus_encoder.encode_pcm_to_opus(
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bytes(self.pcm_buffer), end_of_stream=True
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)
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if opus:
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if self.segment_count < 10: # 前10个片段直接发送
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# 直接发送
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self.tts_audio_queue.put(
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(SentenceType.MIDDLE, opus_data, text)
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(SentenceType.MIDDLE, opus, text)
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)
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self.segment_count += 1
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else:
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# 后续片段缓存
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opus_datas_cache.extend(opus)
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self.pcm_buffer.clear()
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# 如果不是前10个片段,发送缓存的数据
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if self.segment_count >= 10 and opus_datas_cache:
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self.tts_audio_queue.put(
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(SentenceType.MIDDLE, opus_datas_cache, text)
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)
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# 如果是最后一段,输出音频获取完毕
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if is_last:
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self._process_before_stop_play_files()
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except Exception as e:
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logger.error(f"TTS请求异常: {str(e)}")
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logger.error(f"TTS请求异常: {e}")
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self.tts_audio_queue.put((SentenceType.LAST, [], None))
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