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An SRT file C:\tts-out.srt will be generated after a TTS conversion is done.

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This commit is contained in:
Eviluess 2024-03-02 15:50:25 +08:00
parent 0ab0e5390f
commit b4837d8d7c
1 changed files with 29 additions and 0 deletions
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29
GPT_SoVITS/inference_webui.py
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@ -307,6 +307,15 @@ def merge_short_text_in_array(texts, threshold):
result[len(result) - 1] += text result[len(result) - 1] += text
return result return result
def ms_to_srt_time(ms):
N = int(ms)
hours, remainder = divmod(N, 3600000)
minutes, remainder = divmod(remainder, 60000)
seconds, milliseconds = divmod(remainder, 1000)
timesrt = f"{hours:02d}:{minutes:02d}:{seconds:02d},{milliseconds:03d}"
# print(timesrt)
return timesrt
def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切"), top_k=20, top_p=0.6, temperature=0.6, ref_free = False): def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切"), top_k=20, top_p=0.6, temperature=0.6, ref_free = False):
if prompt_text is None or len(prompt_text) == 0: if prompt_text is None or len(prompt_text) == 0:
ref_free = True ref_free = True
@ -364,6 +373,9 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
texts = text.split("\n") texts = text.split("\n")
texts = merge_short_text_in_array(texts, 5) texts = merge_short_text_in_array(texts, 5)
audio_opt = [] audio_opt = []
audio_samples = 0
srtlines = []
if not ref_free: if not ref_free:
phones1,bert1,norm_text1=get_phones_and_bert(prompt_text, prompt_language) phones1,bert1,norm_text1=get_phones_and_bert(prompt_text, prompt_language)
@ -419,15 +431,32 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
.numpy()[0, 0] .numpy()[0, 0]
) ###试试重建不带上prompt部分 ) ###试试重建不带上prompt部分
max_audio=np.abs(audio).max()#简单防止16bit爆音 max_audio=np.abs(audio).max()#简单防止16bit爆音
srtline_begin=ms_to_srt_time(audio_samples*1000.0 / hps.data.sampling_rate)
audio_samples += audio.size + zero_wav.size
srtline_end=ms_to_srt_time(audio_samples*1000.0 / hps.data.sampling_rate)
if max_audio>1:audio/=max_audio if max_audio>1:audio/=max_audio
audio_opt.append(audio) audio_opt.append(audio)
audio_opt.append(zero_wav) audio_opt.append(zero_wav)
srtlines.append(f"{len(audio_opt):02d}\n")
srtlines.append(srtline_begin+' --> '+srtline_end+"\n")
if (text[-1] in ['.', '。']): text = text[:-1]
if (text[0] in ['.', '。']): text = text[1:]
srtlines.append(text+"\n\n")
t4 = ttime() t4 = ttime()
print("%.3f\t%.3f\t%.3f\t%.3f" % (t1 - t0, t2 - t1, t3 - t2, t4 - t3)) print("%.3f\t%.3f\t%.3f\t%.3f" % (t1 - t0, t2 - t1, t3 - t2, t4 - t3))
yield hps.data.sampling_rate, (np.concatenate(audio_opt, 0) * 32768).astype( yield hps.data.sampling_rate, (np.concatenate(audio_opt, 0) * 32768).astype(
np.int16 np.int16
) )
with open('c:/tts-out.srt', 'w', encoding='utf-8') as f:
f.writelines(srtlines)
def split(todo_text): def split(todo_text):
todo_text = todo_text.replace("……", "。").replace("——", "，") todo_text = todo_text.replace("……", "。").replace("——", "，")