Alternatives and similar repositories for Singer-identification-in-artist20

Users that are interested in Singer-identification-in-artist20 are comparing it to the libraries listed below

• ws-choi / AMSS-Net
  A PyTorch implementation of the paper: "AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries" (ACM Multimedia 2021…
  ☆21Updated 4 years ago
• pc2752 / ss_synthesis
  ☆18Updated 6 years ago
• Js-Mim / rl_singing_voice
  Unsupervised Representation Learning for Singing Voice Separation
  ☆22Updated 2 years ago
• ws-choi / LASAFT-Net-v2
  A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"
  ☆33Updated 3 years ago
• hearbenchmark / hear-baseline
  Simple baseline model for the HEAR benchmark
  ☆23Updated last month
• kyungyunlee / mono2mixed-singer
  [ismir2019] Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
  ☆28Updated 3 years ago
• minzwon / data-driven-harmonic-filters
  ☆42Updated 5 years ago
• EdwinYam / J-Net
  J-Net is aimed for audio separation with randomly weighted encoder.
  ☆12Updated 6 years ago
• keunwoochoi / music4all_contrib
  ☆32Updated 5 years ago
• biboamy / AVASpeech_Music_Labels
  ☆20Updated 4 years ago
• popcornell / OSDC
  ☆16Updated 4 years ago
• asteroid-team / pytorch_stoi
  STOI loss functions in PyTorch (mirror of https://github.com/mpariente/pytorch_stoi)
  ☆15Updated 5 years ago
• sweetcocoa / crepe-pytorch
  Implementation of CREPE Pitch tracker with PyTorch
  ☆19Updated 5 years ago
• Bose / efficient-neural-speech-enhancement
  Audio samples for the paper "TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids"
  ☆48Updated 5 years ago
• OSU-slatelab / mimic-enhance
  Speech enhancement using mimic loss
  ☆16Updated 6 years ago
• fearofchou / mmnet
  ☆16Updated 6 years ago
• groadabike / Kaldi-Dsing-task
  DSing ASR task: Resources and Baseline for an unaccompanied singing ASR.
  ☆19Updated 4 years ago
• popcornell / MicRank
  MicRank is a Learning to Rank neural channel selection framework where a DNN is trained to rank microphone channels.
  ☆22Updated 4 years ago
• bastibe / MAPS-Scripts
  A fundamental frequency estimation algorithm using features from the magnitude and phase spectrogram.
  ☆24Updated 4 years ago
• wangyu / rethink-audio-fsl
  Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)
  ☆43Updated 3 years ago
• JuanFMontesinos / torch_mir_eval
  Backpropagable pytorch implementation of https://craffel.github.io/mir_eval/.
  ☆35Updated last year
• MTG / Podcastmix
  PodcastMix A dataset for separating music and speech in podcasts.
  ☆44Updated last year
• BirdVox / PCEN-SNR
  Audio activity detector based on per-channel energy normalization (PCEN)
  ☆29Updated 7 years ago
• haoheliu / DCASE_2022_Task_5
  System that ranks 2nd in DCASE 2022 Challenge Task 5: Few-shot Bioacoustic Event Detection
  ☆28Updated 3 years ago
• xavierfav / coala
  COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
  ☆48Updated last year
• schufo / tisms
  This is the code of the ICASSP 2020 paper "Joint phoneme alignment and text-informed speech separation on highly corrupted speech"
  ☆15Updated last year
• helenacuesta / multif0-estimation-polyvocals
  Code for ISMIR 2020 paper: "Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks"
  ☆55Updated last year
• ljuvela / GlottDNN
  GlottDNN vocoder and tools for training DNN excitation models
  ☆32Updated 4 years ago
• emirdemirel / DALI-TestSet4ALT
  This is a subset of the DALI set consisting of 240 polyphonic recordings that is used to benchmark lyrics transcription evaluation.
  ☆12Updated 4 years ago
• jayneelparekh / sp2si-code
  Contains code for our work on speech to singing conversion (ICASSP 2020)
  ☆50Updated 5 years ago