Showing 2 open source projects for "speech decoder"

View related business solutions
  • Powerful App Monitoring Without Surprise Bills Icon
    Powerful App Monitoring Without Surprise Bills

    AppSignal starts at $23/month with all features included. No overages, no hidden fees. 30-day free trial.

    Tired of monitoring tools that punish you for scaling? AppSignal offers transparent, predictable pricing with every feature unlocked on every plan. Track errors, monitor performance, detect anomalies, and manage logs across Ruby, Python, Node.js, and more. Trusted by developers since 2012 with free dev-to-dev support. No credit card required to start your 30-day trial.
    Try AppSignal Free
  • $300 in Free Credit Across 150+ Cloud Services Icon
    $300 in Free Credit Across 150+ Cloud Services

    VMs, containers, AI, databases, storage | build anything. No commitment to start.

    Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale with Google Cloud.
    Start Building Free
  • 1
    EnCodec

    EnCodec

    State-of-the-art deep learning based audio codec

    Encodec is a neural audio codec developed by Meta for high-fidelity, low-bitrate audio compression using end-to-end deep learning. Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can operate in real time and supports variable bandwidths, bitrates, and multi-band audio. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    Distant Speech Recognition

    Beamforming and Speech Recognition Toolkit

    BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB