本报告介绍了FunAudioLLM,这是一个旨在增强人类与大型语言模型(LLMs)之间自然语音交互的模型家族。其核心包括两个创新模型:SenseVoice,负责处理多语言语音识别、情感识别和音频事件检测;以及CosyVoice,促进具有多种语言、音色、说话风格和说话人身份控制的自然语音生成。SenseVoice-Small为五种语言提供了极低延迟的自动语...
阿里GitHub中FunAudioLLM-APP项目包含3个部分(cosyvoice2+sensevoice+LLM大语言模型--通用千问),分别实现语音识别、人工智能对话和语音转文字功能,可以无硬件实现小智这样的智能对话。cosyvoice和sensevoice是从另外的项目中下载到FunAudioLLM-APP项目的两个目录里。 FunAudioLLM-APP项目:(https://github.com/FunAudio...
lm_input = self.speech_embedding.weight[top_ids].reshape(1, 1, -1)1 change: 1 addition & 0 deletions 1 cosyvoice/tokenizer/tokenizer.py Original file line numberDiff line numberDiff line change @@ -269,6 +269,7 @@ def decode(self, tokens): text = self.tokenizer.batch_decode([tok...
self.model = Qwen2ForCausalLM.from_pretrained(pretrain_path)def forward_one_step(self, xs, masks, cache=None): input_masks = masks[:, -1, :] outs = self.model( inputs_embeds=xs, attention_mask=input_masks, output_hidden_states=True, ...
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python3 funasr_wss_client.py--host"127.0.0.1"--port10095--modeoffline--audio_in"../audio/asr_example.wav" html-client 在浏览器中打开 html/static/index.html 这里需要注意,asr地址如果我么们没有ssl则直接使用ws://+地址+端口号(10095)即可 ...
llm: !new:cosyvoice.llm.llm.TransformerLM text_encoder_input_size: !ref <text_encoder_input_size> llm_input_size: !ref <llm_input_size> llm_output_size: !ref <llm_output_size> text_token_size: 51866 speech_token_size: 4096 length_normalized_loss: True lsm_weight: 0 spk...
#lm_weight=0.15, #beam_size=10, ) param_dict = {} param_dict['use_timestamp'] =False 这里首先指定模型目录,否则FunAsr会在C盘下载模型。 随后编写转写逻辑: def transcribe_one(audio_path): rec_result = inference_pipeline(audio_in=audio_path,param_dict=param_dict)print(rec_result["text"]...
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \ --itn-dir thuduj12/fst_itn_zh \ --hotword /workspace/models/hotwords.txt > log.txt 2>&1 & 在这种情况下很难调试这个服务端程序的,只能通过查看程序的进程来看看是否正常运行。
LM3915 10-point Audio Level indicator kitPower supply Voltage: DC9V--12V (DC voltage) PCB Size: Length 62mm* width 27mmTips: 560 Euro position can be welded 560 euros or 2.2K of resistance, hair is which resistance to weld which resistance value, 2.2K effect will be better, the board ...