Reverse Dependencies of resampy

The following projects have a declared dependency on resampy:

• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• allosaurus — a multilingual phone recognizer
• andrewAudio — A sound-object labelling machine learning model for use with Audacity. Uses VGGish for feature extraction and a Pytorch N-way classifier neural network for training.
• audio-separator — Easy to use audio stem separation, using various models from UVR trained primarily by @Anjok07
• audiossl — no summary
• audlib — A speech signal processing library with emphasis on deep learning.
• audtorch — Deep learning with PyTorch and audio
• augly — A data augmentations library for audio, image, text, & video.
• auraloss — Collection of audio-focused loss functions in PyTorch.
• basic-pitch — Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.
• birdnet — A Python library for identifying bird species by their sounds.
• Brainfeatures — A toolbox to decode raw time-domain EEG using features.
• coqui-stt-training — Training code for Coqui STT
• d3net-spleeterweb — Unofficial Python package of D3Net implementation by Sony Research AI, used in Spleeter Web.
• desed — DESED dataset utils
• distil-primitives — Distil primitives as a single library
• dls-rvc — no summary
• easy-vc-dev — no summary
• elevenlabslib — Complete python wrapper for the elevenlabs API
• epilepsy2bids — Python library for converting EEG datasets of people with epilepsy to BIDS compatible datasets.
• ertk — Tools for process emotion recognition datasets, extracting features, and running experiments.
• espnet — ESPnet: end-to-end speech processing toolkit
• fast-tts — no summary
• faunanet — faunanet - A bioacoustics platform for the analysis of animal sounds with neural networks based on birdnetlib
• frechet-audio-distance — A lightweight library of Frechet Audio Distance calculation.
• gurulearn — Library for ML model analysis, multi-image model support,CT scan processing, and audio recognition(added feature confidance to audio recognition)(bug fixes)
• Harmonify — Harmonify: A project fork of RVC V2
• iarahealth-stt-training — Training code for Coqui STT
• iracema — Audio Content Analysis for Research on Musical Expressiveness and Individuality
• jarvis-akul2010 — A library built to make it extremely easy to build a simple voice assistant.
• jotts — JoTTS is a German text-to-speech engine.
• jrvc — Libraries for RVC inference
• koogu — Machine Learning for Bioacoustics
• kudio — Audio Toolbox™ KUDIO
• libmv — a library to create music videos
• librosa — Python module for audio and music processing
• macls — Audio Classification toolkit on Pytorch
• madarrays — Python package for audio data structures with missing entries
• mamkit — A Comprehensive Multimodal Argument Mining Toolkit.
• masr — Automatic speech recognition toolkit on Pytorch
• matchering — Audio Matching and Mastering Python Library
• medkit-lib — A Python library for a learning health system
• minispec — Minimal module for computing audio spectrograms
• MLProto — Modular Neural Network Protyping for Stock Market Prediction
• msa-toolbox — MSA Toolbox
• mser — Speech Emotion Recognition toolkit on Pytorch
• mvector — Voice Print Recognition toolkit on Pytorch
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• odin-ai — Deep learning for research and production
• opensesame-plugin-omexp — BRM_OMEXP plugins for OpenSesame
• paddlespeech — Speech tools and models based on Paddlepaddle
• pafts — Library That Preprocessing Audio For TTS.
• pipecat-ai — An open source framework for voice (and multimodal) assistants
• pitch-detectors — collection of pitch detection algorithms with unified interface
• ppacls — Audio Classification toolkit on PaddlePaddle
• ppasr — Automatic speech recognition toolkit on PaddlePaddle
• ppser — Speech Emotion Recognition toolkit on PaddlePaddle
• ppvector — Voice Print Recognition toolkit on PaddlePaddle
• promonet — Prosody Modification Network
• pyclarity — Tools for the Clarity Challenge
• resemble-enhance — Speech denoising and enhancement with deep learning
• rvc-infer — Python wrapper for inference with rvc
• sadtalker-z — sadtalker
• scikit-maad — Open-source and modular toolbox for quantitative soundscape analysis in Python
• shazbot — Sound Hierarchy Attribute Zeitgeist Before Oligarchy Take
• signalworks — Library to handle signal data and perform signal processing computations
• sonosco — Framework for training deep automatic speech recognition models.
• Sound-cls — no summary
• spaudiopy — Spatial Audio Python Package
• specmatch — Calculate an IR to match a spectrum
• target-approximation — Python implementation of the Target-Approximation-Model.
• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• torch-utilities — Simplifying audio and deep learning with PyTorch.
• torchopenl3 — Deep audio and image embeddings, based on Look, Listen, and Learn approach Pytorch
• vadtk — A toy voice activity detection tool kit
• wavetabler — Wavetabler: A tool for generating wavetables from audio files
• wavmark — AI-Based Audio Watermarking Tool
• wilddrummer — Turn sound samples into drums.
• xumx-spleeterweb — Unofficial NNabla implementation of CrossNet-Open-Unmix (X-UMX), originally created by Sony Research AI.
• xumx-unofficial — Unofficial NNabla implementation of CrossNet-Open-Unmix (X-UMX), originally created by Sony Research AI.
• yeaudio — Audio ToolKit for Python