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AlignmentDuration
Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.AlignmentEvaluation
Scripts for computing common lyrics-to-audio alignment evaluation metrics. Usable evaluation for any token-based alignment (e.g. if token is word, phrase, note, section etc.) User for the evaluation of the MIREX Lyrics-to-audio challengelakh_vocal_segments_dataset
singing voice with annotations of vocal onsets, based on the matched MIDI from http://colinraffel.com/projects/lmd/Lyrics2AudioAligner
lyrics-to-audio-alignement system. Initially done using HTK for rapid prototypinghtkModelParser
Parses models created by the HTK Toolkit (http://htk.eng.cam.ac.uk/) as text files into Python class. It enables then various operations with the models like visualization and comparison.ENST-drums-dataset
the dataset used in the paper https://drive.google.com/file/d/0B4bIMgQlCAuqdGVRbVNNbzJfeUU/viewvocal-detection
otmm_vocal_segments_dataset
Manual annotations of audio segments that correspond to sections from score with singing voice presentchorus-vocal-covers
A heuristic approach to the detection of choruses in vocal cover versions. Done at the WiMIR workshop at ISMIR 2019 https://docs.google.com/presentation/d/1WYXxChgo8DI_NknyndPdcOuxlhAL_428Olg2fWaVy6U/edit#slide=id.g6f4f88d309_0_57music_hack_sofia
Examples of extracting acoustic features with essentiaredisCover
A tool to rediscover your favorite song: its cover versions. You just name the song, it does all for you: find all cover versions of the original, select their audio thumbnails, play a thumbnail mashupJingjuAlignment
Lyrics-to-Audio Alignment for Jingju Ariasturkish-makam-lyrics-2-audio-test-data
Audio Files and symbTr description and word-level ground truth annotation of lyrics. Used to evaluate lyrics-to-audio alignement systemmeowify
mfcc-htk-an-librosa
Reproduce the htk-type of MFCC features using the essentia framework. The MFCC extracted with essentia are compared to these extracted with htk these extracted with librosaPhDThesis
The data needed to generate my phd thesistune_puzzle
Tune Puzzlelyrics2AudioDTW
matlab version of lyrics2audio using DTW. experimentalPosition-DBN-HMM-Lyrics
query by textual lyrics in audio with HHMM model of section positions using ViterbiLove Open Source and this site? Check out how you can help us