Reverse Dependencies of librosa

The following projects have a declared dependency on librosa:

• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• Tetra-Model-Zoo — Models optimized for export to run on device.
• tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tfds-nightly-gradient — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tflibrosa — Re-implementation of some librosa function for tensorflow. Reproduction from torchlibrosa.
• tflite-model-maker — TFLite Model Maker: a model customization library for on-device applications.
• tflite-model-maker-nightly — TFLite Model Maker: a model customization library for on-device applications.
• tglcourse — work-in-progress course
• thefiarlib — thefiarlib
• tifex-py — TODO
• tifresi — Time Frequency Spectrogram Inversion
• tinygrad — You like pytorch? You like micrograd? You love tinygrad! <3
• tinygrad-tools — You like pytorch? You like micrograd? You love tinygrad! <3
• tmh — TMH Speech package
• tokensynth — tokensynth
• tomtom — Funções para tese de doutorado. Em breve mais.
• tonic — Neuromorphic datasets and transformations.
• torch-ecg — A Deep Learning Framework for ECG Processing Tasks Based on PyTorch
• torch-mfcc — A librosa's STFT/FBANK/MFCC implement based on Torch
• torch-stft — An STFT/iSTFT for PyTorch
• torchaudio-augmentations — Audio augmentations library for PyTorch, for audio in the time-domain.
• torchlibrosa — PyTorch implemention of part of librosa functions.
• torchmetrics — PyTorch native Metrics
• torchopenl3 — Deep audio and image embeddings, based on Look, Listen, and Learn approach Pytorch
• torchsynth — A modular synthesizer in pytorch, GPU-optional and differentiable
• transcription-diff — Speech to transcription comparison
• transformers — State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
• tsaug — A package for time series augmentation
• tts — Deep learning for Text to Speech by Coqui.
• tts-uk — High-fidelity speech synthesis for Ukrainian using modern neural networks.
• tts-with-rvc — TTS with RVC pipeline
• tts-with-rvc-onnx — TTS with RVC pipeline (ONNX Version)
• TTS2 — Deep learning for Text to Speech by Coqui.
• ttscube — Text-to-speech synthesis engine, based on end-to-end GAN training. Features: multilanguage, multispeaker, realtime CPU synthesis
• ttskit — text to speech toolkit
• ttsmms — Text-to-speech with The Massively Multilingual Speech (MMS) project
• ttspersian — A Python library for Persian text-to-speech using Microsoft Azure service.
• tuning-fork — A clip/sample auto tuner
• tvsm-extractor — Extract TVSM dataset
• twang — Machine learning tools for guitarists
• twilio-phone-calls — Python Implementation for Handling Twilio Phone Calls
• udls — Base class and presets for fast dataset creation inside IRCAM
• ultimate-rvc — Ultimate RVC
• ultravox-vllm — no summary
• univoc — A PyTorch implementation of Towards Achieving Robust Universal Neural Vocoding.
• useful-moonshine — Speech Recognition for Live Transcription and Voice Commands
• uss — Universal source separation (USS) with weakly labelled data.
• vanpy — VANPY - Voice Analysis framework in Python
• vectorhub — One liner to encode data into vectors with state-of-the-art models using tensorflow, pytorch and other open source libraries. Word2Vec, Image2Vec, BERT, etc
• vectorhub-nightly — One liner to encode data into vectors with state-of-the-art models using tensorflow, pytorch and other open source libraries. Word2Vec, Image2Vec, BERT, etc
• versatile-audio-upscaler — Versatile AI-driven audio upscaler to enhance the quality of any audio.
• versatile-audio-upscaler-fixed — Versatile AI-driven audio upscaler to enhance the quality of any audio -- Now supporting Numpy +1.26
• vibe-analyser — A vibration analysis and data acquisition suite for the rpi
• vid2aud — A python module to extract audio from a video
• vid2cleantxt — A command-line tool to easily transcribe speech-based video files into clean text. also in Colab.
• vidtoolz-beats — Get beats from a mp3 song
• viet-tts — VietTTS: An Open-Source Vietnamese Text to Speech
• ViewCube — Datacube visualization and sonification
• visbeat — Code for 'Visual Rhythm and Beat' SIGGRAPH 2018
• visbeat3 — Python3 Implementation for 'Visual Rhythm and Beat' SIGGRAPH 2018
• vision-unlearning — Vision Unlearning: a tool for Machine Unlearning in Computer Vision
• vital-sqi — Signal quality control pipeline for electrocardiogram and photoplethysmogram
• vllm-emissary — A high-throughput and memory-efficient inference and serving engine for LLMs
• vllm-xft — A high-throughput and memory-efficient inference and serving engine for LLMs
• vocal — A vocal source separation
• vocal-remover — Vocal remover.
• vocalpy — A core package for acoustic communication research in Python
• vocex — Voice Frame-Level and Utterance-Level Attribute Extraction
• Voice-Cloning — Introducing Voice_Cloning: A Python Package for Speech Synthesis and Voice Cloning!
• voice-gender-recognition — A voice gender recognition package using machine learning
• voice-toolbox — Convenient wrappers for audio signal processing in Python
• voice100-runtime — Voice100 Runtime is a TTS/ASR sample app that uses ONNX Runtime, WORLD and Voice100 neural TTS/ASR models on Python. Inference of Voice100 is low cost as its models are tiny and only depend on CNN without recursion.
• voiceauth — AI Voice Detection System
• voiceauthCore — A deepfake audio detection tool
• voicefixer — This package is written for the restoration of degraded speech
• Voicelab — Fully Automated Reproducible Acoustical Analysis
• voicerestore-fork — This is a an unofficial fork of the https://github.com/skirdey/voicerestore repository for pip packaging.
• voices — 适用于 diffsinger 的多功能工具集
• vox-box — Vox box
• voxws — Few Shot Language Agnostic Keyword Spotting (FSLAKWS) System
• VuVoPy — Voice features
• waddle-ai — A podcast preprocessing library for aligning, normalizing, and transcribing audio files.
• wandas — Wandas is an open source library for efficient signal analysis in Python
• warpq — WARP-Q: Quality Prediction For Generative Neural Speech Codecs
• wav-autoencoder — WavAutoencoder: A Self-Supervised Framework for Learning Audio Representations
• wav2clip — Wav2CLIP: Learning Robust Audio Representations From CLIP.
• Wav2lip-integration — no summary
• Wav2Lipy — Wrapper Package for LipGan Project
• Wav2TextGrid — A python forced alignment package
• waveglow — Waveglow library
• waveglow-cli — Command-line interface (CLI) to train WaveGlow using .wav files.
• wavescapes — Python library to build wavescapes, plots used in musicology.
• waveser — Used to process audio data.
• wavesongs — A python package for birdsongs creation and data extraction.
• wavetabler — Wavetabler: A tool for generating wavetables from audio files
• waveuse — Used to process audio data.
• wavmark — AI-Based Audio Watermarking Tool
• wavx — 音频分析和处理工具库