ba6972a647
1、唇型计算的视音素更换成33毫秒； 2、内置rwkv_api nlp可以直接使用； 3、降低情绪性向数字人端推送的频度； 4、非数字人连接状态不产生接口消息； 5、修复因mp3格式错误而导致一定概率不推送播放信息给数字人端的问题； 6、修复静音等指令执行时提前结束nlp逻辑，而导致用户提问消息不推送数字人端问题； 7、补充wav文件启动清理； 8、websocket工具类升级完善。
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
import subprocess
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import time
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import os
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os.environ['PATH'] += os.pathsep + os.path.join(os.getcwd(), "test", "ovr_lipsync", "ffmpeg", "bin")
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from pydub import AudioSegment
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import json
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def list_files(dir_path):
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for root, dirs, files in os.walk(dir_path):
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for file in files:
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print(os.path.join(root, file))
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class LipSyncGenerator:
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def __init__(self):
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self.viseme_em = [
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"sil", "PP", "FF", "TH", "DD",
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"kk", "CH", "SS", "nn", "RR",
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"aa", "E", "ih", "oh", "ou"]
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self.viseme = []
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self.exe_path = "test\\ovr_lipsync\\ovr_lipsync_exe\\ProcessWAV.exe"
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def convert_mp3_to_wav(self, mp3_filepath):
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audio = AudioSegment.from_mp3(mp3_filepath)
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# 使用 set_frame_rate 方法设置采样率
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audio = audio.set_frame_rate(44100)
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wav_filepath = mp3_filepath.rsplit(".", 1)[0] + ".wav"
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audio.export(wav_filepath, format="wav")
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return wav_filepath
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def run_exe_and_get_output(self, arguments):
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process = subprocess.Popen([self.exe_path] + arguments, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
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while True:
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output = process.stdout.readline()
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if output == b'' and process.poll() is not None:
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break
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if output:
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self.viseme.append(output.strip().decode())
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rc = process.poll()
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return rc
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def filter(self, viseme):
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new_viseme = []
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for v in self.viseme:
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if v in self.viseme_em:
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new_viseme.append(v)
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return new_viseme
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def generate_visemes(self, mp3_filepath):
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wav_filepath = self.convert_mp3_to_wav(mp3_filepath)
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arguments = ["--print-viseme-name", wav_filepath]
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self.run_exe_and_get_output(arguments)
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return self.filter(self.viseme)
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def consolidate_visemes(self, viseme_list):
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if not viseme_list:
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return []
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result = []
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current_viseme = viseme_list[0]
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count = 1
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for viseme in viseme_list[1:]:
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if viseme == current_viseme:
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count += 1
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else:
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result.append({"Lip": current_viseme, "Time": count*33}) # Multiply by 10 for duration in ms
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current_viseme = viseme
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count = 1
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# Add the last viseme to the result
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result.append({"Lip": current_viseme, "Time": count*33}) # Multiply by 10 for duration in ms
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new_data = []
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for i in range(len(result)):
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if result[i]['Time'] < 30:
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if len(new_data) > 0:
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new_data[-1]['Time'] += result[i]['Time']
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else:
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new_data.append(result[i])
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return new_data
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if __name__ == "__main__":
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start_time = time.time()
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lip_sync_generator = LipSyncGenerator()
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viseme_list = lip_sync_generator.generate_visemes("E:\\github\\Fay\\samples\\fay-man.mp3")
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print(viseme_list)
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consolidated_visemes = lip_sync_generator.consolidate_visemes(viseme_list)
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print(json.dumps(consolidated_visemes))
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print(time.time() - start_time)
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