Reverse Dependencies of librosa

The following projects have a declared dependency on librosa:

• ml4a — A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
• mlcroissant — MLCommons datasets format.
• MLProto — Modular Neural Network Protyping for Stock Market Prediction
• MLTask-utils — a collection of commonly used tools by MLTask
• mmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
• mmkit-features — A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation.
• MMSA-FET — A Tool for extracting multimodal features from videos.
• mockingbirdforuse — no summary
• mockingbirdonlyforuse — A Raw Use Version for MockingBird
• model-creator-bird-sing-v2 — Autoencoder singing
• model-evaluation-777 — Evaluate speech enhancemnt model performance
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• Modulation — time series signal analysis
• Montreal-Forced-Aligner — Montreal Forced Aligner is a package for aligning speech corpora using Kaldi functionality.
• movie-utils — 视频文件处理的辅助工具
• movis — A video editing library
• mpai-cae-arp — The MPAI CAE-ARP software API
• mpk — Media Programming Kit Python bindings
• mplc — A distributed-learning package for the study of multi-partner learning approaches and contributivity measurement methods
• MPSENet — Python package of MP-SENet from Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement.
• ms-funcodec — FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
• msa-toolbox — MSA Toolbox
• msaf — Python module to discover the structure of music files
• msaf-test — Python module to discover the structure of music files
• msclap — CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference. The model has been extensively evaluated in 26 audio downstream tasks achieving SoTA in several of them including classification, retrieval, and captioning.
• mseep-mcp-music-analysis — \A MCP server with music tools\
• mseep-nash-mcp — Nash MCP
• mser — Speech Emotion Recognition toolkit on Pytorch
• mtsa — Multiple Time Series Analysis
• muko — 加速实现AIGC、自动办公的中文编程工具
• multimodel-ai — A Python module for efficient multi-model AI inference with memory management
• muprocdurham — Python package for the Music Processing lecture and practicals at Durham University
• MusFeat — no summary
• mushan — Personal toolkit.
• music_util — Collection of utilities for musicians
• music22 — A tool for musicological analysis from audio files. Now it is focused on modal music analysis : Scale analysis, tonic detection
• musicflower — no summary
• MusicInsights — no summary
• musicnet — no summary
• musicnn-keras — Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging. Musicnn_keras is a tf.keras implementation of musicnn
• musicnotefinder — A library for analyzing audio files and detecting musical notes.
• musicntwrk — music as data, data as music
• muvimaker — A small package to generate moving pictures from sound
• mvits — VITS toolkit on Pytorch
• mvmake — A script to cut a directory of clips to music.
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• nemo-asr — Collection of Neural Modules for Speech Recognition
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• nemo-tts — Collection of Neural Modules for Speech Synthesis
• nendo — The Nendo AI Audio Tool Suite
• neon-iris — Interactive Relay for Intelligence Systems
• neon-utils — Utilities for NeonAI
• neural-homomorphic-vocoder — Pytorch implementation of neural homomorphic vocoder
• neverlib — A successful sign for python setup
• new-fave — New Vowel Extraction Suite
• nexaai-metal — Nexa AI SDK
• nexai — Nexa AI SDK
• nijtaio — Helper module to streamline access to Nijta's API
• nisqa — NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
• nnAudio — A fast GPU audio processing toolbox with 1D convolutional neural network
• nonebot-plugin-checkbpm — 基于Librosa的音频文件BPM计算器 通过上传到群文件方式计算音频文件的bpm值（beat per minute）
• nonebot-plugin-diffsinger — 用DiffSinger让bot唱歌
• note-seq — Use machine learning to create art and music
• npc-engine — Deep learning inference and NLP toolkit for game development.
• nusacrowd — no summary
• nussl — A flexible sound source separation library.
• NViXTTS — Deep learning for Vietnamese Text to Speech
• nwave — Multithread batch resampling and waveform transforms
• o2-speechless — Speechless repo for sales call analysis
• oarc — OARC Python Package
• oceanai — OCEAN-AI
• oceansoundscape — A python package for analyzing ocean acoustic data.
• odysee — High-performance quantum-inspired multimodal memory system with adaptive routing and distributed processing capabilities
• ofautils — AIO Triton Utilities
• omnizart — Omniscient Mozart, being able to transcribe everything in the music.
• openav — OpenAV
• openmmla — OpenMMLA: A unified multimedia platform integrating audio and vision modules for analysis and computer aided instruction.
• openmmla-audio — Audio module for the OpenMMLA platform
• openscenesense — A video analysis toolkit using OpenAI and Openrouter vision models
• openscenesense-ollama — Offline video analysis using Ollama models and local Whisper
• opensoundscape — Open source, scalable acoustic classification for ecology and conservation
• openvoice-cli — Use OpenVoice 2 stage via console or python scripts
• openwillis-voice — digital health measurement
• oplangchain — langchain for OpenPlugin
• optimum-furiosa — Optimum Furiosa is the interface between the 🤗 Transformers library and Furiosa NPUs such as Furiosa Warboy. It provides a set of tools enabling easy model loading and inference for different downstream tasks for Furiosa NPU.
• optimum-graphcore — Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
• optimum-neuron — Optimum Neuron is the interface between the Hugging Face Transformers and Diffusers libraries and AWS Trainium and Inferentia accelerators. It provides a set of tools enabling easy model loading, training and inference on single and multiple neuron core settings for different downstream tasks.
• osagent — osagent
• otozu — A library for converting between audio files and spectrograms
• otxmmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
• paddle-parakeet — Speech synthesis tools and models based on Paddlepaddle
• paddleaudio — Speech audio tools based on Paddlepaddle
• paddlelibrosa — Paddle implemention of part of librosa functions.
• paddlespeech — Speech tools and models based on Paddlepaddle
• paderbox — Collection of utilities in the department of communications engineering of the UPB
• pafst — Library That Preprocessing Audio For TTS/STT.
• pafts — Library That Preprocessing Audio For TTS.
• panns-AT-inference — panns_AT_inference: audio tagging inference toolbox
• panns-inference — panns_inference: audio tagging and sound event detection inference toolbox
• paule — paule implements the Predictive Articulatory speech synthesis model Utilizing Lexical Embeddings (PAULE), which is a control model for the articulatory speech synthesizer VocalTractLab (VTL).