update:优化百度ASR文档链接

This commit is contained in:
hrz
2025-05-04 01:19:54 +08:00
parent 4530345a1f
commit 56c3a04809
2 changed files with 24 additions and 12 deletions
+2 -5
View File
@@ -259,11 +259,8 @@ ASR:
access_key_secret: 你的阿里云账号access_key_secret
output_dir: tmp/
BaiduASR:
# 可以在这里申请百度语音技术的AppID、API Key、Secret Key
# https://console.bce.baidu.com/ai-engine/old/#/ai/speech/app/list
# 启用前需要先安装依赖包:
# pip install baidu-aip==4.16.13
# pip install chardet==5.2.0
# 获取AppID、API Key、Secret Keyhttps://console.bce.baidu.com/ai-engine/old/#/ai/speech/app/list
# 查看资源额度:https://console.bce.baidu.com/ai-engine/old/#/ai/speech/overview/resource/list
type: baidu
app_id: 你的百度语音技术AppID
api_key: 你的百度语音技术APIKey
@@ -17,12 +17,16 @@ from config.logger import setup_logging
TAG = __name__
logger = setup_logging()
class ASRProvider(ASRProviderBase):
def __init__(self, config: dict, delete_audio_file: bool = True):
self.app_id = config.get("app_id")
self.api_key = config.get("api_key")
self.secret_key = config.get("secret_key")
self.dev_pid = config.get("dev_pid")
dev_pid = config.get("dev_pid", "1537")
self.dev_pid = int(dev_pid) if dev_pid else 1537
self.output_dir = config.get("output_dir")
self.delete_audio_file = delete_audio_file
@@ -61,7 +65,9 @@ class ASRProvider(ASRProviderBase):
return pcm_data
async def speech_to_text(self, opus_data: List[bytes], session_id: str) -> Tuple[Optional[str], Optional[str]]:
async def speech_to_text(
self, opus_data: List[bytes], session_id: str
) -> Tuple[Optional[str], Optional[str]]:
"""将语音数据转换为文本"""
if not opus_data:
logger.bind(tag=TAG).warn("音频数据为空!")
@@ -86,16 +92,25 @@ class ASRProvider(ASRProviderBase):
start_time = time.time()
# 识别本地文件
result = self.client.asr(combined_pcm_data, 'pcm', 16000, {
'dev_pid': str(self.dev_pid),
})
result = self.client.asr(
combined_pcm_data,
"pcm",
16000,
{
"dev_pid": str(self.dev_pid),
},
)
if result and result["err_no"] == 0:
logger.bind(tag=TAG).debug(f"百度语音识别耗时: {time.time() - start_time:.3f}s | 结果: {result}")
logger.bind(tag=TAG).debug(
f"百度语音识别耗时: {time.time() - start_time:.3f}s | 结果: {result}"
)
result = result["result"][0]
return result, file_path
else:
raise Exception(f"百度语音识别失败,错误码: {result['err_no']},错误信息: {result['err_msg']}")
raise Exception(
f"百度语音识别失败,错误码: {result['err_no']},错误信息: {result['err_msg']}"
)
return None, file_path
except Exception as e: