Search Results for "waveform" - Page 2
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Showing 133 open source projects for "waveform"
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...At the time of writing the publication, limr builded upon gateware version 2.17 from June 2018, which was used with API version 18.04.19. Feb2022: LimeSDR USB gateware/API updates, including a new optional gateware fork that allows to playback a waveform directly from LimeSDR memory, which is very useful for setting up CW experiments. Jan2024: LimeSDR Mini 2.0 gateware added Do not hesitate to ask in case of installation problems
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...Creating new symbols for models; . Drawing circuit by schematic (CAD approach); . Simulating the circuit by ngspice commands; . Presenting simulation results in waveform; . Licensed under: DSPICE is free to use. GPLv3 ; . Open source;
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PyAMS
PyAMS (Python for Analog and Mixed Signals) CAD approach
PyAMS (Python for Analog and Mixed Signals) is used to simplify modeling analog elements and simulate electronic circuit The objectives of PyAMS is: - Drawing circuit by schematic (CAD approach); - Simulating the circuit; - Creating new symbols for models; - Creating new models of electrical elements by using Python language with pyams_lib; - Presenting simulation results in waveform or in probe; - PyAMS is developed with Python 3+, ElectronJS and NodeJs - Licensed under: PyAMS is free to use. GPLv3 . - Open source. -
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ЛазМер/ LazMer
A package of components for measurement and automation in Lazarus.
A package of components for measurement and automation in Lazarus. -
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Text to Waveform
Create synth presets from words
Convert words to waveforms you can load into a synthesizer oscillator to create synth presets. Have fun turning your name, your friends' names, your city name, your pet's name, your team's name into synth presets you can use to produce a track. -
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garysfm
An advanced file manager with qss themes and iso and folder previews
garysfm which stands for Gary's File Manager is a file manager with some advanced features. Those features include bulk renaming and folder image previews. I has rather advanced search functions, tab browsing with persistence between launches. It remembers your folder sorting and view options in icon view. It also remembers your active tabs between sessions. It has progress dialog while doing large operations like copying large files, and folders with many files. python version works on... -
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LoopAuditioneer
Software for loop and cue handling in .wav files.
Since 2024-02-28 development of LoopAuditioneer has moved to GitHub. Please go to https://github.com/GrandOrgue/LoopAuditioneer for recent updates and releases. -
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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... -
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Quick Subtitles
HTML5 Based Subtitle Creation Tool
Quick Subtitles in an HTML5 based solution for rapid creation and syncing of subtitles while playing your video. It is designed around the concept that you should minimize the need to take your hands off the keyboard while performing data entry. -
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miRemote
IR Remote, Android phone with Ir emitter runs LIRC config file
Loads LIRC config files, displays remote buttons. Uses LIRC project core code to create waveform for a button. Uses Android phone IR emitter to send waveform. Can list, download, and use all LIRC config files in LIRC.ORG remotes database. Does not support LEARN IR Code yet. -
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eCxx
A C++ library for AVR and NodeMCU
NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original... -
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Demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Demucs (Deep Extractor for Music Sources) is a deep-learning framework for music source separation—extracting individual instrument or vocal tracks from a mixed audio file. The system is based on a U-Net-like convolutional architecture combined with recurrent and transformer elements to capture both short-term and long-term temporal structure. It processes raw waveforms directly rather than spectrograms, allowing for higher-quality reconstruction and fewer artifacts in separated tracks. The... -
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems.... -
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audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch
A fully featured audio diffusion library, for PyTorch. Includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The provided models are waveform-based, however, the U-Net (built using a-unet), DiffusionModel, diffusion method, and diffusion samplers are both generic to any dimension and highly customizable to work on other formats. Note: no pre-trained models are provided here, this library is meant for research purposes. -
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Security Log Generator
Generates logs of typical formats that would often be found in a SOC
Generates logs of typical formats that would often be found in a SOC. As of 31st January 2023, it supports IDS, Web Access and Endpoint log formats. Can generate a specific number of events in a linear fashion or use a waveform to add 'bumpiness' to your data. The code is modular and extensible, adding additional formats can be done with relative ease. -
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WaveformSeekBar
Android Waveform SeekBar library
Android Waveform SeekBar library. -
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EnCodec
State-of-the-art deep learning based audio codec
...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. Encodec has applications in speech and music compression, generative modeling, and efficient data transmission for communication systems. The repository includes pretrained checkpoints, PyTorch inference code, and examples for integrating Encodec as a module in downstream generative or streaming systems. -
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DiffSinger
Singing Voice Synthesis via Shallow Diffusion Mechanism
DiffSinger is an open-source PyTorch implementation of a diffusion-based acoustic model for singing-voice synthesis (SVS) and also text-to-speech (TTS) in a related variant. The core idea is to view generation of a sung voice (mel-spectrogram) as a diffusion process: starting from noise, the model iteratively “denoises” while being conditioned on a music score (lyrics, pitch, musical timing). This avoids some of the typical problems of prior SVS models — like over-smoothing or unstable GAN... -
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WaveRNN
WaveRNN Vocoder + TTS
WaveRNN is a PyTorch implementation of DeepMind’s WaveRNN vocoder, bundled with a Tacotron-style TTS front end to form a complete text-to-speech stack. As a vocoder, WaveRNN models raw audio with a compact recurrent neural network that can generate high-quality waveforms more efficiently than many traditional autoregressive models. The repository includes scripts and code for preprocessing datasets such as LJSpeech, training Tacotron to produce mel spectrograms, training WaveRNN on those... -
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Gwave is a waveform viewer for the output of analog electronic circuit simulators such as spice. It displays the data as 2-D plots, and allows for interactive scrolling, zooming, and measuring of the waveforms.
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ECG Logger
ECG Logger is a complete Holter system incl. device and firmware.
NEW V3 version with RTC and buzzer (require V3+ ECG Logger Viewer application) The ECG Logger project is a Wearable Cardio Monitor for Long-Term (up to 24h) ECG Data Acquisition and Analysis (aka Holter) with an ECG live (real-time) mode. This project provides a very low-cost open-source "Hardware and Software" for a Cardiac Rhythmic Holter. The hardware has been made very simple and is based on an Arduino Nano micro-controller with boards for SD card mass-storage, instrumentation... -
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VoiceFixer
General Speech Restoration
...The architecture works in two stages: first an analysis stage that tries to extract “clean” intermediate features from the noisy audio (e.g. removing noise, denoising, dereverberation, upsampling), and then a neural vocoder-based synthesis stage that reconstructs a high-quality waveform from those features. Unlike many single-purpose noise reduction tools, VoiceFixer targets a “general speech restoration” problem (GSR), capable of handling multiple types of distortions at once, which makes it suitable for old recordings, phone-call audio, amateur voice recordings, or archival media. Evaluations show that VoiceFixer significantly improves both objective and subjective audio quality compared to baseline speech-enhancement methods. -
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TensorFlowTTS
Real-Time State-of-the-art Speech Synthesis for Tensorflow 2
TensorFlowTTS is a state-of-the-art, open-source speech synthesis library built on TensorFlow 2. It offers a variety of architectures for text-to-speech, including classic and modern models such as Tacotron‑2, FastSpeech / FastSpeech2, and neural vocoders like MelGAN and Multiband‑MelGAN. Because it’s based on TensorFlow 2, it can leverage optimizations such as fake-quantization aware training and pruning — which allow models to run faster than real time and to be deployable on mobile or... -
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VITS
Conditional Variational Autoencoder with Adversarial Learning
VITS is a foundational research implementation of “VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech,” a well-known neural TTS architecture. Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation (fast inference) while achieving speech quality that rivals or surpasses many two-stage systems. The repository provides training and inference pipelines for common datasets such as LJ Speech (single-speaker) and VCTK (multi-speaker), including filelists, configs, and preprocessing scripts. ... -
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Denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)
...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. The implementation includes data augmentation techniques applied to the raw waveforms (e.g. noise mixing, reverberation) to improve model robustness and generalization to diverse noise types. The project supports both offline denoising (batch inference) and live audio processing (e.g. via loopback audio interfaces), making it practical for real-time use in calls or recording. ...
