Reverse Dependencies of librosa

The following projects have a declared dependency on librosa:

• sample-id — Acoustic fingerprinting for Sample Identification
• sappl — Simple Audio Pre-Processing Library for deep learning audio applications
• scisonify — Turn Scientific Data into Sounds & Music
• seacrowd — no summary
• serato-tools — Serato crate, library database, and track metadata (cues, beatgrid, etc.) modification
• series-intro-recognizer — Find the intro of episodes of a series
• SETools — Speech Enhancement Tools Packages
• sgmse — Speech enhancement model using SGMSE
• shazbot — Sound Hierarchy Attribute Zeitgeist Before Oligarchy Take
• shira_audio — audio search/retrieval library
• shrinemaiden — An auxiliary library to help process data for ML/DL purposes
• shttst — Shmart TTS tools.
• sideseeing-tools — A set of tools to load, preprocess and analyze data collected through the MultiSensor Data Collection App
• sidlingvo — Lingvo utils for Google SVL team
• signal-transformation — The package allows performing a transformation of a signal using TensorFlow, Pytorch or LibROSA
• silentcipher — Artefact free robust high quality audio watermarking
• silero-vad-nuaazs — Silero VAD
• simo — Smart Home on Steroids!
• simple-talking-anime-avatar — A simple python package to generate image or video of a talking avatar based on text or audio.
• sinapsis-langchain-readers — Package that provides support for Langchain community data loaders.
• skelly-synchronize — Basic template of a python repository
• sl-sources — Code for Society Library Sources
• slg-nimrod — minimal deep learning framework
• smfiles — Read and Edit .sm files and Measure BPM of songs.
• sndid — AI Sound Identification.
• snr-calc — A package to calculate SNR from audio files
• so-vits-svc-fork — A fork of so-vits-svc.
• so-vits-svc-fork-mandarin — A mandarin translation version of a fork of so-vits-svc.
• socialysis — Tool for analyzing and extracting insights from Facebook Messenger conversations
• sociaML — sociaML - the Swiss Army knife for audiovisual and textual video feature extraction.
• somnus — Somnus is keyword detection made easy.
• sonata-asr — SONATA: SOund and Narrative Advanced Transcription Assistant
• sonorus — Named after a spell in the Harry Potter Universe, where it amplies the sound of a speaker. In muggles' terminology, this is a repository of modules for audio and speech processing for and on top of machine learning based tasks such as speech-to-text.
• sonosco — Framework for training deep automatic speech recognition models.
• sonosthesia-audio-pipeline — Sonosthesia tools for baking audio analysis data
• sonusai — Framework for building deep neural network models for sound, speech, and voice AI
• sota-asr — 基于funasr的语音识别服务
• souJpg-diffusers — State-of-the-art diffusion in PyTorch and JAX.
• sound-analyzer-encoder — Sound analyzer and encoder
• Sound-cls — no summary
• soundata — Python library for loading and working with sound datasets.
• soundpy — A research-based framework for exploring sound as well as machine learning in the context of sound.
• soundviewer — Python package for sound visualization
• speaker-diarization — no summary
• speaker-verification-toolkit — A package designed to compose speaker verification systems
• speakerbox — Speaker Annotation for Transcripts using Audio Classification
• SpecAugment — A implementation of "SpecAugment"
• spectral-sound-analysis — A Python package for performing spectral analysis, audio signal processing, and related computations.
• spectro-utils — Add a short description here
• SpectrogramUtils — Make usage of spectrogram easy
• speech-articulatory-coding — Python code for analyzing and synthesizing articulatory features of speech
• speech-collator — A collator for speech datasets with different batching strategies and attribute extraction.
• speech-interface — An interface for neural speech synthesis with Pytorch
• speech-recognition-inference — A Speech-to-Text API.
• speech-text-pipeline — A Python package for speech transcription and speaker diarization with speaker matching functionality.
• speechaugs — Waveform augmentations
• speechline — An end-to-end, offline, batch audio categorization, transcription, and segmentation.
• speechmix — Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together
• speechtoolkit — ML for Speech presents SpeechToolkit, a unified, all-in-one toolkit for TTS, ASR, VC, & other models.
• speechwidgets — A library with Jupyter widgets for speech processing
• SPEEM — Calculate indicators saved as Excel.
• spela — spectrogram layers
• spiegelib — Synthesizer Programming with Intelligent Exploration, Generation, and Evaluation Library
• spychhiker — Various python class for speech analysis and speech synthesis
• sq_codec — SQCodec: A nerual audio codec with one quantizer
• ssak — Multi-lingual Automatic Speech Recognition (ASR) based on Whisper models, with accurate word timestamps, access to language detection confidence, several options for Voice Activity Detection (VAD), and more.
• ssr-eval — This package is written for the evaluation of speech super-resolution algorithms.
• stable-diffusion-videos — Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts.
• stem-mixer — Data augmentation for source separation models
• stopes — Large-Scale Translation Data Mining.
• str2speech — A powerful, Transformer-based text-to-speech (TTS) tool.
• streamer-torch — Official implementation of STREAMER, a self-supervised hierarchical event segmentation and representation learning
• StreamSender — A SDK for sending RTP and RTMP streams
• stt-sample-inspector — Inspect, modify, and add metadata to DeepSpeech (speech-to-text) datasets in CSV format.
• styletts2 — StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. Original authors: Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani.
• styletts2-fork — Fork of StyleTTS 2 Python packge. StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. Original authors: Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani, Sidharth Rajaram.
• subaligner — Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers.
• subtoaudio — Subtitle to Audio, generate audio or speech from any subtitle file
• supriya — A Python API for SuperCollider
• svc-toolkit — A self-contained singing voice conversion application using the so-vits-svc architecture, with Deep U-Net model for vocal separation feature and easy to use GUI.
• sxmp-mule — no summary
• sylber — Python code for "Sylber: Syllabic Embedding Representation of Speech from Raw Audio"
• synapse-ai-tools — A Python package for artificial intelligence development, providing utilities for machine learning, deep learning, data processing, and model deployment.
• synctoolbox — Python Package for Efficient, Robust, and Accurate Music Synchronization (Sync Toolbox)
• synesthesia-uf — A Python audio image creation tool
• synth-mapping-helper — Toolbox for manipulating the JSON-Format used by Synth Riders Beatmap Editor in the clipboard
• syntheon — Inference parameters of music synthesizers with deep learning
• synthoor — no summary
• tacotron — A PyTorch implementation of Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis.
• tacotron-cli — Command-line interface (CLI) to train Tacotron 2 using .wav <=> .TextGrid pairs.
• tacotron2 — Tacotron2 library
• talk-summarizer — Python library to summarize talks
• taoverse — A utilities library for model training subnets.
• tarzan — high-level IO for tar based dataset
• teamscritique — The funniest joke in the world
• tensionflow — A Tensorflow framework for working with audio data.
• tensorflow-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• TensorFlowASR — Almost State-of-the-art Automatic Speech Recognition using Tensorflow 2
• TensorflowTTS — TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for TensorFlow 2
• terra-ai-datasets-framework — Framework to create a dataset to train a neural network.