mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-28 01:53:53 +08:00
update: 增加相关配置
This commit is contained in:
@@ -1,33 +0,0 @@
|
|||||||
-- 添加 MinimaxHTTPStream 流式 TTS 供应器
|
|
||||||
delete from `ai_model_provider` where id = 'SYSTEM_TTS_MinimaxStreamTTS';
|
|
||||||
INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
|
|
||||||
('SYSTEM_TTS_MinimaxStreamTTS', 'TTS', 'minimax_stream', 'Minimax流式语音合成', '[{"key":"group_id","label":"组ID","type":"string"},{"key":"api_key","label":"API密钥","type":"string"},{"key":"model","label":"模型","type":"string"},{"key":"voice_id","label":"音色ID","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"voice_setting","label":"音色设置","type":"dict","dict_name":"voice_setting"},{"key":"pronunciation_dict","label":"发音字典","type":"dict","dict_name":"pronunciation_dict"},{"key":"audio_setting","label":"音频设置","type":"dict","dict_name":"audio_setting"},{"key":"timber_weights","label":"音色权重","type":"string"}]', 18, 1, NOW(), 1, NOW());
|
|
||||||
|
|
||||||
-- 添加Minimax流式TTS模型配置
|
|
||||||
delete from `ai_model_config` where id = 'TTS_MinimaxStreamTTS';
|
|
||||||
INSERT INTO `ai_model_config` VALUES ('TTS_MinimaxStreamTTS', 'TTS', 'MinimaxStreamTTS', 'Minimax流式语音合成', 0, 1, '{"type": "minimax_stream", "group_id": "", "api_key": "", "model": "speech-01", "voice_id": "female-shaonv", "output_dir": "tmp/", "voice_setting": {"speed": 1, "vol": 1, "pitch": 0, "emotion": "happy"}, "pronunciation_dict": {"tone": ["处理/(chu3)(li3)", "危险/dangerous"]}, "audio_setting": {"sample_rate": 24000, "bitrate": 128000, "format": "pcm", "channel": 1}}', NULL, NULL, 21, NULL, NULL, NULL, NULL);
|
|
||||||
|
|
||||||
-- 更新Minimax流式TTS配置说明
|
|
||||||
UPDATE `ai_model_config` SET
|
|
||||||
`doc_link` = 'https://platform.minimaxi.com/',
|
|
||||||
`remark` = 'Minimax流式TTS配置说明:
|
|
||||||
1. 需要先申请Minimax API Key
|
|
||||||
2. 需要填写Group ID
|
|
||||||
3. 支持多种音色设置和音频参数调整
|
|
||||||
4. 支持实时流式合成,具有较低的延迟
|
|
||||||
5. 支持自定义发音字典和音色权重
|
|
||||||
6. 隐藏参数配置:声音设定(voice_setting)、发音字典(pronunciation_dict)、音色权重(timber_weights)
|
|
||||||
- 语速(speed): 范围[0.5,2],默认1.0,取值越大语速越快
|
|
||||||
- 音量(vol): 范围(0,10],默认1.0,取值越大音量越高
|
|
||||||
- 音调(pitch): 范围[-12,12],默认0,取值需为整数
|
|
||||||
- timbre_weights与voice_id二选一必填
|
|
||||||
- voice_id(请求的音色id,须和weight参数同步填写)
|
|
||||||
- weight(权重,最多支持4种音色混合。范围[1,100])
|
|
||||||
' WHERE `id` = 'TTS_MinimaxStreamTTS';
|
|
||||||
|
|
||||||
-- 添加Minimax流式TTS音色
|
|
||||||
delete from `ai_tts_voice` where tts_model_id = 'TTS_MinimaxStreamTTS';
|
|
||||||
-- 默认音色
|
|
||||||
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0001', 'TTS_MinimaxStreamTTS', '少女音', 'female-shaonv', '中文', NULL, NULL, NULL, NULL, 1, NULL, NULL, NULL, NULL);
|
|
||||||
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0002', 'TTS_MinimaxStreamTTS', '成熟女声', 'female-chengshu', '中文', NULL, NULL, NULL, NULL, 2, NULL, NULL, NULL, NULL);
|
|
||||||
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0003', 'TTS_MinimaxStreamTTS', '少年音', 'male-shaonian', '中文', NULL, NULL, NULL, NULL, 3, NULL, NULL, NULL, NULL);
|
|
||||||
@@ -0,0 +1,45 @@
|
|||||||
|
-- 添加 MinimaxHTTPStream 流式 TTS 供应器
|
||||||
|
delete from `ai_model_provider` where id = 'SYSTEM_TTS_MinimaxStreamTTS';
|
||||||
|
INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
|
||||||
|
('SYSTEM_TTS_MinimaxStreamTTS', 'TTS', 'minimax_httpstream', 'Minimax流式语音合成', '[{"key":"group_id","label":"组ID","type":"string"},{"key":"api_key","label":"API密钥","type":"string"},{"key":"model","label":"模型","type":"string"},{"key":"voice_id","label":"音色ID","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"voice_setting","label":"音色设置","type":"dict","dict_name":"voice_setting"},{"key":"pronunciation_dict","label":"发音字典","type":"dict","dict_name":"pronunciation_dict"},{"key":"audio_setting","label":"音频设置","type":"dict","dict_name":"audio_setting"},{"key":"timber_weights","label":"音色权重","type":"string"}]', 18, 1, NOW(), 1, NOW());
|
||||||
|
|
||||||
|
-- 添加Minimax流式TTS模型配置
|
||||||
|
delete from `ai_model_config` where id = 'TTS_MinimaxStreamTTS';
|
||||||
|
INSERT INTO `ai_model_config` VALUES ('TTS_MinimaxStreamTTS', 'TTS', 'MinimaxStreamTTS', 'Minimax流式语音合成', 0, 1, '{"type": "minimax_httpstream", "group_id": "", "api_key": "", "model": "speech-01-turbo", "voice_id": "female-shaonv", "output_dir": "tmp/", "voice_setting": {"speed": 1, "vol": 1, "pitch": 0, "emotion": "happy"}, "pronunciation_dict": {"tone": ["处理/(chu3)(li3)", "危险/dangerous"]}, "audio_setting": {"sample_rate": 24000, "bitrate": 128000, "format": "pcm", "channel": 1}}', NULL, NULL, 21, NULL, NULL, NULL, NULL);
|
||||||
|
|
||||||
|
-- 更新Minimax流式TTS配置说明
|
||||||
|
UPDATE `ai_model_config` SET
|
||||||
|
`doc_link` = 'https://platform.minimaxi.com/',
|
||||||
|
`remark` = 'Minimax流式TTS配置说明:
|
||||||
|
1. 需要先申请Minimax API Key
|
||||||
|
2. 需要填写Group ID
|
||||||
|
3. 支持多种音色设置和音频参数调整
|
||||||
|
4. 支持实时流式合成,具有较低的延迟
|
||||||
|
5. 支持自定义发音字典和音色权重
|
||||||
|
6. 隐藏参数配置:声音设定(voice_setting)、发音字典(pronunciation_dict)、音色权重(timber_weights)
|
||||||
|
- 语速(speed): 范围[0.5,2],默认1.0,取值越大语速越快
|
||||||
|
- 音量(vol): 范围(0,10],默认1.0,取值越大音量越高
|
||||||
|
- 音调(pitch): 范围[-12,12],默认0,取值需为整数
|
||||||
|
- 情绪(emotion): 控制合成语音的情绪,支持7种值:["happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm"],该参数仅对 speech-2.5-hd-preview、speech-2.5-turbo-preview、speech-02-hd、speech-02-turbo、speech-01-turbo、speech-01-hd 生效
|
||||||
|
- timbre_weights与voice_id二选一必填
|
||||||
|
- voice_id(请求的音色id,须和weight参数同步填写)
|
||||||
|
- weight(权重,最多支持4种音色混合。范围[1,100])
|
||||||
|
' WHERE `id` = 'TTS_MinimaxStreamTTS';
|
||||||
|
|
||||||
|
-- 添加Minimax流式TTS音色
|
||||||
|
delete from `ai_tts_voice` where tts_model_id = 'TTS_MinimaxStreamTTS';
|
||||||
|
|
||||||
|
-- 默认音色
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0001', 'TTS_MinimaxStreamTTS', '少女音', 'female-shaonv', '中文', NULL, NULL, NULL, NULL, 1, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0002', 'TTS_MinimaxStreamTTS', '成熟女声', 'female-chengshu', '中文', NULL, NULL, NULL, NULL, 2, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0003', 'TTS_MinimaxStreamTTS', '霸道少爷', 'badao_shaoye', '中文', NULL, NULL, NULL, NULL, 3, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0004', 'TTS_MinimaxStreamTTS', '病娇弟弟', 'bingjiao_didi', '中文', NULL, NULL, NULL, NULL, 4, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0005', 'TTS_MinimaxStreamTTS', '纯真学弟', 'chunzhen_xuedi', '中文', NULL, NULL, NULL, NULL, 5, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0006', 'TTS_MinimaxStreamTTS', '冷淡学长', 'lengdan_xiongzhang', '中文', NULL, NULL, NULL, NULL, 6, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0007', 'TTS_MinimaxStreamTTS', '甜美小玲', 'tianxin_xiaoling', '中文', NULL, NULL, NULL, NULL, 7, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0008', 'TTS_MinimaxStreamTTS', '俏皮萌妹', 'qiaopi_mengmei', '中文', NULL, NULL, NULL, NULL, 8, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0009', 'TTS_MinimaxStreamTTS', '妩媚御姐', 'wumei_yujie', '中文', NULL, NULL, NULL, NULL, 9, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0010', 'TTS_MinimaxStreamTTS', '嗲嗲学妹', 'diadia_xuemei', '中文', NULL, NULL, NULL, NULL, 7, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0011', 'TTS_MinimaxStreamTTS', '淡雅学姐', 'danya_xuejie', '中文', NULL, NULL, NULL, NULL, 8, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0012', 'TTS_MinimaxStreamTTS', 'Santa Claus', 'Santa_Claus', '中文', NULL, NULL, NULL, NULL, 9, NULL, NULL, NULL, NULL);
|
||||||
|
INSERT INTO `ai_tts_voice` VALUES ('TTS_MinimaxStreamTTS_0013', 'TTS_MinimaxStreamTTS', 'Grinch', 'Grinch', '中文', NULL, NULL, NULL, NULL, 10, NULL, NULL, NULL, NULL);
|
||||||
@@ -304,9 +304,9 @@ databaseChangeLog:
|
|||||||
encoding: utf8
|
encoding: utf8
|
||||||
path: classpath:db/changelog/202508131557.sql
|
path: classpath:db/changelog/202508131557.sql
|
||||||
- changeSet:
|
- changeSet:
|
||||||
id: 202508200911
|
id: 202509051745
|
||||||
author: RanChen
|
author: RanChen
|
||||||
changes:
|
changes:
|
||||||
- sqlFile:
|
- sqlFile:
|
||||||
encoding: utf8
|
encoding: utf8
|
||||||
path: classpath:db/changelog/202508200911.sql
|
path: classpath:db/changelog/202509051745.sql
|
||||||
|
|||||||
@@ -1,12 +1,14 @@
|
|||||||
import os
|
import os
|
||||||
import json
|
import json
|
||||||
|
import time
|
||||||
import queue
|
import queue
|
||||||
import asyncio
|
import asyncio
|
||||||
import traceback
|
|
||||||
import aiohttp
|
import aiohttp
|
||||||
from core.utils.util import parse_string_to_list
|
import requests
|
||||||
|
import traceback
|
||||||
from config.logger import setup_logging
|
from config.logger import setup_logging
|
||||||
from core.utils.tts import MarkdownCleaner
|
from core.utils.tts import MarkdownCleaner
|
||||||
|
from core.utils.util import parse_string_to_list
|
||||||
from core.providers.tts.base import TTSProviderBase
|
from core.providers.tts.base import TTSProviderBase
|
||||||
from core.utils import opus_encoder_utils, textUtils
|
from core.utils import opus_encoder_utils, textUtils
|
||||||
from core.providers.tts.dto.dto import SentenceType, ContentType
|
from core.providers.tts.dto.dto import SentenceType, ContentType
|
||||||
@@ -80,7 +82,6 @@ class TTSProvider(TTSProviderBase):
|
|||||||
self.processed_chars = 0
|
self.processed_chars = 0
|
||||||
self.tts_text_buff = []
|
self.tts_text_buff = []
|
||||||
self.before_stop_play_files.clear()
|
self.before_stop_play_files.clear()
|
||||||
self.reset_flow_controller()
|
|
||||||
elif ContentType.TEXT == message.content_type:
|
elif ContentType.TEXT == message.content_type:
|
||||||
self.tts_text_buff.append(message.content_detail)
|
self.tts_text_buff.append(message.content_detail)
|
||||||
segment_text = self._get_segment_text()
|
segment_text = self._get_segment_text()
|
||||||
@@ -93,13 +94,7 @@ class TTSProvider(TTSProviderBase):
|
|||||||
)
|
)
|
||||||
if message.content_file and os.path.exists(message.content_file):
|
if message.content_file and os.path.exists(message.content_file):
|
||||||
# 先处理文件音频数据
|
# 先处理文件音频数据
|
||||||
self._process_audio_file_stream(
|
self._process_audio_file_stream(message.content_file, callback=lambda audio_data: self.handle_audio_file(audio_data, message.content_detail))
|
||||||
message.content_file,
|
|
||||||
callback=lambda audio_data: self.handle_audio_file(
|
|
||||||
audio_data, message.content_detail
|
|
||||||
),
|
|
||||||
)
|
|
||||||
|
|
||||||
if message.sentence_type == SentenceType.LAST:
|
if message.sentence_type == SentenceType.LAST:
|
||||||
# 处理剩余的文本
|
# 处理剩余的文本
|
||||||
self._process_remaining_text_stream(True)
|
self._process_remaining_text_stream(True)
|
||||||
@@ -259,3 +254,88 @@ class TTSProvider(TTSProviderBase):
|
|||||||
await super().close()
|
await super().close()
|
||||||
if hasattr(self, "opus_encoder"):
|
if hasattr(self, "opus_encoder"):
|
||||||
self.opus_encoder.close()
|
self.opus_encoder.close()
|
||||||
|
|
||||||
|
def to_tts(self, text: str) -> list:
|
||||||
|
"""非流式TTS处理,用于测试及保存音频文件的场景
|
||||||
|
Args:
|
||||||
|
text: 要转换的文本
|
||||||
|
Returns:
|
||||||
|
list: 返回opus编码后的音频数据列表
|
||||||
|
"""
|
||||||
|
start_time = time.time()
|
||||||
|
text = MarkdownCleaner.clean_markdown(text)
|
||||||
|
|
||||||
|
payload = {
|
||||||
|
"model": self.model,
|
||||||
|
"text": text,
|
||||||
|
"stream": True,
|
||||||
|
"voice_setting": self.voice_setting,
|
||||||
|
"pronunciation_dict": self.pronunciation_dict,
|
||||||
|
"audio_setting": self.audio_setting,
|
||||||
|
}
|
||||||
|
|
||||||
|
if type(self.timber_weights) is list and len(self.timber_weights) > 0:
|
||||||
|
payload["timber_weights"] = self.timber_weights
|
||||||
|
payload["voice_setting"]["voice_id"] = ""
|
||||||
|
|
||||||
|
headers = {
|
||||||
|
"Content-Type": "application/json",
|
||||||
|
"Authorization": f"Bearer {self.api_key}",
|
||||||
|
}
|
||||||
|
|
||||||
|
try:
|
||||||
|
with requests.post(
|
||||||
|
self.api_url, data=json.dumps(payload), headers=headers, timeout=5
|
||||||
|
) as response:
|
||||||
|
if response.status_code != 200:
|
||||||
|
logger.bind(tag=TAG).error(
|
||||||
|
f"TTS请求失败: {response.status_code}, {response.text}"
|
||||||
|
)
|
||||||
|
return []
|
||||||
|
|
||||||
|
logger.info(f"TTS请求成功: {text}, 耗时: {time.time() - start_time}秒")
|
||||||
|
|
||||||
|
# 使用opus编码器处理PCM数据
|
||||||
|
opus_datas = []
|
||||||
|
full_content = response.content.decode('utf-8')
|
||||||
|
pcm_data = bytearray()
|
||||||
|
for data_block in full_content.split('\n\n'):
|
||||||
|
if not data_block.startswith('data: '):
|
||||||
|
continue
|
||||||
|
|
||||||
|
try:
|
||||||
|
json_str = data_block[6:] # 去除'data: '前缀
|
||||||
|
data = json.loads(json_str)
|
||||||
|
if data.get('data', {}).get('status') == 1:
|
||||||
|
audio_hex = data['data']['audio']
|
||||||
|
pcm_data.extend(bytes.fromhex(audio_hex))
|
||||||
|
except (json.JSONDecodeError, KeyError) as e:
|
||||||
|
logger.bind(tag=TAG).warning(f"无效数据块: {e}")
|
||||||
|
continue
|
||||||
|
|
||||||
|
# 计算每帧的字节数
|
||||||
|
frame_bytes = int(
|
||||||
|
self.opus_encoder.sample_rate
|
||||||
|
* self.opus_encoder.channels
|
||||||
|
* self.opus_encoder.frame_size_ms
|
||||||
|
/ 1000
|
||||||
|
* 2
|
||||||
|
)
|
||||||
|
|
||||||
|
# 分帧处理合并后的PCM数据
|
||||||
|
for i in range(0, len(pcm_data), frame_bytes):
|
||||||
|
frame = bytes(pcm_data[i:i+frame_bytes])
|
||||||
|
if len(frame) < frame_bytes:
|
||||||
|
frame += b"\x00" * (frame_bytes - len(frame))
|
||||||
|
|
||||||
|
self.opus_encoder.encode_pcm_to_opus_stream(
|
||||||
|
frame,
|
||||||
|
end_of_stream=(i + frame_bytes >= len(pcm_data)),
|
||||||
|
callback=lambda opus: opus_datas.append(opus)
|
||||||
|
)
|
||||||
|
|
||||||
|
return opus_datas
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
logger.bind(tag=TAG).error(f"TTS请求异常: {e}")
|
||||||
|
return []
|
||||||
|
|||||||
Reference in New Issue
Block a user