Showing 5 open source projects for "tests"

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  • 1
    AI Runner

    AI Runner

    Offline inference engine for art, real-time voice conversations

    ...The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents.
    Downloads: 7 This Week
    Last Update:
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  • 2
    gTTS

    gTTS

    Python library and CLI tool to interface with Google Translate

    gTTS (Google Text-to-Speech) is a Python library and command-line tool that wraps the speech functionality of Google Translate. It lets you send text to the Google Translate TTS endpoint and receive spoken audio back as MP3 data, either written to a file, a file-like object, or standard output. The library is designed to handle long texts, using a speech-specific sentence tokenizer that keeps intonation and punctuation natural while splitting requests into acceptable chunks. It supports...
    Downloads: 10 This Week
    Last Update:
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  • 3
    WavTokenizer

    WavTokenizer

    SOTA discrete acoustic codec models with 40/75 tokens per second

    ...Extensive experiments show that WavTokenizer matches or surpasses previous neural codecs across speech, music, and general audio on both objective metrics and subjective listening tests.
    Downloads: 0 This Week
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  • 4
    Parallel WaveGAN

    Parallel WaveGAN

    Unofficial Parallel WaveGAN

    Parallel WaveGAN is an unofficial PyTorch implementation of several state-of-the-art non-autoregressive neural vocoders, centered on Parallel WaveGAN but also including MelGAN, Multiband-MelGAN, HiFi-GAN, and StyleMelGAN. Its main goal is to provide a real-time neural vocoder that can turn mel spectrograms into high-quality speech audio efficiently. The repository is designed to work hand-in-hand with ESPnet-TTS and NVIDIA Tacotron2-style front ends, so you can build complete TTS or singing...
    Downloads: 0 This Week
    Last Update:
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  • 5
    Speechalyzer

    Speechalyzer

    Process large speech data wrt transcription, labeling and annotation

    ...It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech-to-text, text-to-speech and speech classification software systems.
    Downloads: 1 This Week
    Last Update:
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