Search Results for "audio decoder"
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Showing 78 open source projects for "audio decoder"
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Super Audio CD Decoder input plugin for foobar2000. Decoder is capable of playing back Super Audio CD ISO images, DSDIFF, DSF and DSD WavPack files. DSD(DoP) and PCM output modes. Separate DSD Processor/DSD Converter plugins for track extraction into DSD/DST encoded files.
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DVD-Audio Decoder input plugin and Watermark Detector/Neutralizer DSP plugins for foobar2000. Decoder is capable of playing back DVD-Audio discs, ISO images, AOB, MLP and Dolby TrueHD files in full resolution. Dedicated plugin for DTS-HD playback. APT-x100 plugin for *.AUD and *.AUE files from DTS Movie/Trailer Discs.
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Miso TTS
Miso TTS is an 8 billion, highly emotive text-to-speech model
Miso TTS is an advanced 8-billion-parameter text-to-speech model developed by Miso Labs for generating highly expressive and natural-sounding conversational speech. Built on an RVQ Transformer architecture inspired by Sesame CSM, it combines a powerful Llama-based backbone with an autoregressive audio decoder to produce high-quality audio from text. The model supports both standard speech synthesis and voice-conditioned generation using optional audio prompts for voice cloning. Miso TTS generates Mimi audio codes and can leverage conversation history to create more contextually aware and realistic dialogue. Designed for local deployment, it offers watermarking by default to help promote responsible use of generated audio. ... -
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Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
...These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. -
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TorchAudio
Data manipulation and transformation for audio signal processing
The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the same philosophy of providing strong GPU acceleration, having a focus on trainable features through the autograd system, and having consistent style (tensor names and dimension names). Therefore, it is primarily a machine learning library and not a general signal processing library. The benefits of PyTorch can be seen in torchaudio through having all the computations be through PyTorch... -
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IndexTTS2
Industrial-level controllable zero-shot text-to-speech system
...It builds on state-of-the-art models such as XTTS and other modern neural TTS backbones, improving them with a conformer-based speech conditional encoder and upgrading the decoder to a high-quality vocoder (BigVGAN2), leading to clearer and more natural audio output. The system supports zero-shot voice cloning — meaning it can mimic a target speaker’s voice from a short reference sample — making it versatile for multi-voice uses. Compared to many open-source TTS tools, IndexTTS emphasizes efficiency and controllability: it offers faster inference, simpler training pipelines, and controllable speech parameters (like duration, pitch, and prosody), which is critical for production use. -
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XLD
A tool for transcoding lossless audio files
X Lossless Decoder(XLD) is a tool for Mac OS X that is able to decode/convert/play various 'lossless' audio files. The supported audio files can be split into some tracks with cue sheet when decoding. It works on Mac OS X 10.4 and later. -
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opencore-amr
Audio codecs extracted from Android Open Source Project
Library of OpenCORE Framework implementation of Adaptive Multi Rate Narrowband and Wideband (AMR-NB and AMR-WB) speech codec. Library of VisualOn implementation of Adaptive Multi Rate Wideband (AMR-WB) encoder and Advanced Audio Coding (AAC) encoder. Modified library of Fraunhofer AAC decoder and encoder. -
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fleck
mp3 decoder with multi-thread support
MP3 decoder for Linux using libmad with multi-thread support, ideia based on ffmpeg Developed by DeepSeek -
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Multimodal
TorchMultimodal is a PyTorch library
...The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference implementations you can adopt or adapt. The design emphasizes composability: you can mix and match encoder, fusion, and decoder components rather than starting from monolithic models. ... -
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Tabuleiro
mp3 decoder with multi-thread support
MP3 decoder for Linux using libmad with multi-thread support, ideia based on ffmpeg Developed by DeepSeek After 23/may/2026 the latest project files are in the section Files and in the Code section only older versions will be available -
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pmaudio
Precise MPEG Audio
Precise MPEG Audio Decoder - Open source (GPL) - Small - Fast - Very Precise and Very Accurate - Floating-point and Fixed-point varieties - Works with Linux and Windows - Examples for using the library - Sample Input DLL for WinAmp - Sample command-line player - Decoding library derived from mpg123 -
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MMC is a commander-style media player for Windows, with native, hw accelerated video playing and translucent gui. Mpxplay is a console audio player for DOS and Win32 operating systems. x264vfw, x265vfw and xAV1vfw are video for windows encoder and decoder codecs, useful with VirtualDub.
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CSM (Conversational Speech Model)
A Conversational Speech Generation Model
The CSM (Conversational Speech Model) is a speech generation model developed by Sesame AI that creates RVQ audio codes from text and audio inputs. It uses a Llama backbone and a smaller audio decoder to produce audio codes for realistic speech synthesis. The model has been fine-tuned for interactive voice demos and is hosted on platforms like Hugging Face for testing. CSM offers a flexible setup and is compatible with CUDA-enabled GPUs for efficient execution. -
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MPD
Music Player Daemon SACD/DVD-A ISO decoder plugins
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libTiMidity is a MIDI to WAVE converter library that uses Gravis Ultrasound-compatible patch files to generate digital audio data from General MIDI files. This library based on the TiMidity decoder from SDL_sound library.
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jamailmar
Ogg Vorbis decoder with multi-thread support
Linux code to decode Ogg Vorbis files with multi-thread support Developed by DeepSeek -
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Nexus Ham Radio
Free, open-source ham radio workstation — FT8/FT4, phone, CW, prop
...Phone bandscope + voice keyer; CW keyer + live decoder; satellites with rotor auto-track. Speaks WSJT-X UDP so GridTracker/JTAlert/loggers work; LoTW/QRZ/ClubLog/eQSL/N1MM. Also debuts FT1/DX1 — experimental 4-second weak-signal modes, simulation-validated, not yet on-air-proven. Open beta; unsigned installer — verify the SHA-256. GPL-3.0. -
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*Until you install the operating system, the default user = live / no password. DragonOS Noble (24.04) DragonOS FocalX (22.04) and DragonOS Focal (20.04) are out-of-the-box Lubuntu based x86_64 operating systems for anyone interested in software defined radios. All source installed software is located in the /usr/src directory while the remaining software was installed by package managers. What is DragonOS and why do you want it? The shortest distance between two points is a...
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NÜWA - Pytorch
Implementation of NÜWA, attention network for text to video synthesis
Implementation of NÜWA, state of the art attention network for text-to-video synthesis, in Pytorch. It also contains an extension into video and audio generation, using a dual decoder approach. It seems as though a diffusion-based method has taken the new throne for SOTA. However, I will continue on with NUWA, extending it to use multi-headed codes + hierarchical causal transformer. I think that direction is untapped for improving on this line of work. In the paper, they also present a way to condition the video generation based on segmentation mask(s). ... -
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Lyra
A Very Low-Bitrate Codec for Speech Compression
lyra is a neural audio codec designed to deliver intelligible, natural-sounding speech at extremely low bitrates, making real-time communication viable on constrained networks. It replaces hand-engineered codecs with learned models that capture speech characteristics more efficiently and reconstruct waveforms with a neural vocoder. The system targets mobile-class hardware, balancing latency and quality so it can run in real-time on phones. -
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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. ... -
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Denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)
Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output. -
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Vivid3D-Sharp
Modern 3D engine and IDE written using C# and C++.
Modern 3D engine and IDE written using C# and C++. Vivid features all the required functionality to write modern apps ang games. Including a fully working custom GL UI called "ResonanceUI". It features lighting and shadows(Unified) and can even embed and playback videos via FFMPEG, in the UI or full screen, with fully synced audio+picture. It offers two scripting solutions: C# and a custom language called VividScript, which is an OOP style language. The Editor is based on other... -
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run...