tts tacotron2 german
padmalcomIntroduction
The TTS-Tacotron2-German model is a Text-to-Speech (TTS) system developed using the Tacotron2 architecture. It is trained on a custom German dataset with a focus on speech synthesis. This model is part of the SpeechBrain library and is released under the Apache 2.0 license.
Architecture
The model employs the Tacotron2 framework, which is a sequence-to-sequence architecture used for converting text input into speech waveform. The model also utilizes the HiFiGAN vocoder, which is known for its high-quality waveform generation, and can be used independently of the language.
Training
The TTS-Tacotron2-German model was trained for 39 epochs using a custom German dataset. While English SpeechBrain models typically undergo 750 epochs, this model has room for improvement and is expected to receive updates for enhanced performance. The HiFiGAN vocoder is utilized for its language-independent capabilities.
Guide: Running Locally
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Install Dependencies: Ensure you have Python installed, then install the SpeechBrain library using pip:
pip install speechbrain
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Import Libraries: Import the necessary modules from SpeechBrain and torchaudio:
import torchaudio from speechbrain.pretrained import Tacotron2, HIFIGAN
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Initialize Models: Load the Tacotron2 and HiFiGAN models:
tacotron2 = Tacotron2.from_hparams(source="padmalcom/tts-tacotron2-german", savedir="tmpdir_tts") hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")
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Generate Spectrogram and Waveform: Encode text to a spectrogram and convert it to a waveform:
mel_output, mel_length, alignment = tacotron2.encode_text("Die Sonne schien den ganzen Tag.") waveforms = hifi_gan.decode_batch(mel_output)
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Save Output: Save the generated waveform to a file:
torchaudio.save('example_TTS.wav', waveforms.squeeze(1), 22050)
Cloud GPUs: For improved performance, consider using cloud-based GPUs such as those provided by Google Cloud or AWS.
License
The TTS-Tacotron2-German model is licensed under the Apache 2.0 License, permitting its use in both personal and commercial applications with compliance to the license terms.