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⚡️ Kanalimiz: @UZMODD_NETCODERRepost from 乂☞OMNISCIENT☜ 乂
Bu dastur orqali session egasini Chatlari roʻyxatini akkauntiga kirmasdan oʻqishingiz mumkin
Kanal:@virtual_programmers_chanel
Dasturchi:@angestrum
Repost from 乂☞OMNISCIENT☜ 乂
Ruslar bilan hamkorlik qilsam nima deysizlar
@virtual_programmers_chanel
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PySimpleGUI: использование изображения в качестве кнопки
Канал:@angestrum
Repost from 乂☞OMNISCIENT☜ 乂
Yuqoridagi kod pytorch yordamida matnni nutqqa aylantirish kodi
Manba:@angestrum
Repost from N/a
Преобразование текста в речь с помощью PyTorch.
import torchaudio
import torch
import matplotlib.pyplot as plt
import IPython.display
bundle = torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH
processor = bundle.get_text_processor()
tacotron2 = bundle.get_tacotron2().to(device) # Move model to the desired device
vocoder = bundle.get_vocoder().to(device) # Move model to the desired device
text = " My first text to speech!"
with torch.inference_mode():
processed, lengths = processor(text)
processed = processed.to(device) # Move processed text data to the device
lengths = lengths.to(device) # Move lengths data to the device
spec, spec_lengths, _ = tacotron2.infer(processed, lengths)
waveforms, lengths = vocoder(spec, spec_lengths)
fig, [ax1, ax2] = plt.subplots(2, 1, figsize=(16, 9))
ax1.imshow(spec[0].cpu().detach(), origin="lower", aspect="auto") # Display the generated spectrogram
ax2.plot(waveforms[0].cpu().detach()) # Display the generated waveform7. Play the generated audio using IPython.display.Audio
IPython.display.Audio(waveforms[0:1].cpu(), rate=vocoder.sample_rate)
канал:@angestrum
автор:@virtual_programmer_sh
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Repost from 乂☞OMNISCIENT☜ 乂
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Kanal:@virtual_programmers_chanel
https://www.youtube.com/@virtual_programmer_w
