Format project code
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@@ -988,7 +988,7 @@ Name: zh-CN-XiaoxiaoMultilingualNeural-V2
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Gender: Female
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""".strip()
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voices = []
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name = ''
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name = ""
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for line in voices_str.split("\n"):
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line = line.strip()
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if not line:
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@@ -1008,7 +1008,7 @@ Gender: Female
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voices.append(f"{name}-{gender}")
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else:
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voices.append(f"{name}-{gender}")
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name = ''
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name = ""
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voices.sort()
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return voices
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@@ -1028,7 +1028,9 @@ def is_azure_v2_voice(voice_name: str):
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return ""
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def tts(text: str, voice_name: str, voice_rate: float, voice_file: str) -> [SubMaker, None]:
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def tts(
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text: str, voice_name: str, voice_rate: float, voice_file: str
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) -> [SubMaker, None]:
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if is_azure_v2_voice(voice_name):
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return azure_tts_v2(text, voice_name, voice_file)
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return azure_tts_v1(text, voice_name, voice_rate, voice_file)
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@@ -1042,9 +1044,11 @@ def convert_rate_to_percent(rate: float) -> str:
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return f"+{percent}%"
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else:
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return f"{percent}%"
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def azure_tts_v1(text: str, voice_name: str, voice_rate: float, voice_file: str) -> [SubMaker, None]:
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def azure_tts_v1(
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text: str, voice_name: str, voice_rate: float, voice_file: str
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) -> [SubMaker, None]:
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voice_name = parse_voice_name(voice_name)
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text = text.strip()
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rate_str = convert_rate_to_percent(voice_rate)
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@@ -1060,7 +1064,9 @@ def azure_tts_v1(text: str, voice_name: str, voice_rate: float, voice_file: str)
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if chunk["type"] == "audio":
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file.write(chunk["data"])
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elif chunk["type"] == "WordBoundary":
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sub_maker.create_sub((chunk["offset"], chunk["duration"]), chunk["text"])
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sub_maker.create_sub(
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(chunk["offset"], chunk["duration"]), chunk["text"]
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)
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return sub_maker
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sub_maker = asyncio.run(_do())
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@@ -1085,8 +1091,12 @@ def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None
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def _format_duration_to_offset(duration) -> int:
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if isinstance(duration, str):
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time_obj = datetime.strptime(duration, "%H:%M:%S.%f")
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milliseconds = (time_obj.hour * 3600000) + (time_obj.minute * 60000) + (time_obj.second * 1000) + (
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time_obj.microsecond // 1000)
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milliseconds = (
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(time_obj.hour * 3600000)
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+ (time_obj.minute * 60000)
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+ (time_obj.second * 1000)
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+ (time_obj.microsecond // 1000)
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)
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return milliseconds * 10000
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if isinstance(duration, int):
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@@ -1119,20 +1129,29 @@ def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None
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# Creates an instance of a speech config with specified subscription key and service region.
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speech_key = config.azure.get("speech_key", "")
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service_region = config.azure.get("speech_region", "")
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audio_config = speechsdk.audio.AudioOutputConfig(filename=voice_file, use_default_speaker=True)
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speech_config = speechsdk.SpeechConfig(subscription=speech_key,
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region=service_region)
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audio_config = speechsdk.audio.AudioOutputConfig(
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filename=voice_file, use_default_speaker=True
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)
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speech_config = speechsdk.SpeechConfig(
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subscription=speech_key, region=service_region
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)
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speech_config.speech_synthesis_voice_name = voice_name
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# speech_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceResponse_RequestSentenceBoundary,
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# value='true')
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speech_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceResponse_RequestWordBoundary,
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value='true')
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speech_config.set_property(
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property_id=speechsdk.PropertyId.SpeechServiceResponse_RequestWordBoundary,
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value="true",
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)
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speech_config.set_speech_synthesis_output_format(
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speechsdk.SpeechSynthesisOutputFormat.Audio48Khz192KBitRateMonoMp3)
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speech_synthesizer = speechsdk.SpeechSynthesizer(audio_config=audio_config,
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speech_config=speech_config)
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speech_synthesizer.synthesis_word_boundary.connect(speech_synthesizer_word_boundary_cb)
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speechsdk.SpeechSynthesisOutputFormat.Audio48Khz192KBitRateMonoMp3
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)
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speech_synthesizer = speechsdk.SpeechSynthesizer(
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audio_config=audio_config, speech_config=speech_config
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)
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speech_synthesizer.synthesis_word_boundary.connect(
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speech_synthesizer_word_boundary_cb
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)
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result = speech_synthesizer.speak_text_async(text).get()
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if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
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@@ -1140,9 +1159,13 @@ def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None
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return sub_maker
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elif result.reason == speechsdk.ResultReason.Canceled:
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cancellation_details = result.cancellation_details
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logger.error(f"azure v2 speech synthesis canceled: {cancellation_details.reason}")
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logger.error(
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f"azure v2 speech synthesis canceled: {cancellation_details.reason}"
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)
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if cancellation_details.reason == speechsdk.CancellationReason.Error:
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logger.error(f"azure v2 speech synthesis error: {cancellation_details.error_details}")
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logger.error(
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f"azure v2 speech synthesis error: {cancellation_details.error_details}"
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)
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logger.info(f"completed, output file: {voice_file}")
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except Exception as e:
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logger.error(f"failed, error: {str(e)}")
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@@ -1179,11 +1202,7 @@ def create_subtitle(sub_maker: submaker.SubMaker, text: str, subtitle_file: str)
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"""
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start_t = mktimestamp(start_time).replace(".", ",")
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end_t = mktimestamp(end_time).replace(".", ",")
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return (
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f"{idx}\n"
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f"{start_t} --> {end_t}\n"
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f"{sub_text}\n"
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)
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return f"{idx}\n" f"{start_t} --> {end_t}\n" f"{sub_text}\n"
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start_time = -1.0
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sub_items = []
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@@ -1240,12 +1259,16 @@ def create_subtitle(sub_maker: submaker.SubMaker, text: str, subtitle_file: str)
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try:
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sbs = subtitles.file_to_subtitles(subtitle_file, encoding="utf-8")
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duration = max([tb for ((ta, tb), txt) in sbs])
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logger.info(f"completed, subtitle file created: {subtitle_file}, duration: {duration}")
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logger.info(
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f"completed, subtitle file created: {subtitle_file}, duration: {duration}"
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)
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except Exception as e:
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logger.error(f"failed, error: {str(e)}")
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os.remove(subtitle_file)
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else:
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logger.warning(f"failed, sub_items len: {len(sub_items)}, script_lines len: {len(script_lines)}")
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logger.warning(
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f"failed, sub_items len: {len(sub_items)}, script_lines len: {len(script_lines)}"
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)
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except Exception as e:
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logger.error(f"failed, error: {str(e)}")
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@@ -1269,7 +1292,6 @@ if __name__ == "__main__":
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voices = get_all_azure_voices()
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print(len(voices))
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async def _do():
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temp_dir = utils.storage_dir("temp")
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@@ -1318,12 +1340,13 @@ if __name__ == "__main__":
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for voice_name in voice_names:
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voice_file = f"{temp_dir}/tts-{voice_name}.mp3"
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subtitle_file = f"{temp_dir}/tts.mp3.srt"
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sub_maker = azure_tts_v2(text=text, voice_name=voice_name, voice_file=voice_file)
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sub_maker = azure_tts_v2(
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text=text, voice_name=voice_name, voice_file=voice_file
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)
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create_subtitle(sub_maker=sub_maker, text=text, subtitle_file=subtitle_file)
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audio_duration = get_audio_duration(sub_maker)
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print(f"voice: {voice_name}, audio duration: {audio_duration}s")
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loop = asyncio.get_event_loop_policy().get_event_loop()
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try:
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loop.run_until_complete(_do())
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