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GitHub - scottlawsonbc/audio-reactive-led-strip: :musical_note: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
GitHub - scottlawsonbc/audio-reactive-led-strip: :musical_note: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
:musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi - GitHub - scottlawsonbc/audio-reactive-led-strip: :musical_note: Real-time LED strip m...
·github.com·
GitHub - scottlawsonbc/audio-reactive-led-strip: :musical_note: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
Tone Transfer — Magenta DDSP
Tone Transfer — Magenta DDSP
Play around with different inputs and outputs to see how machine learning transforms sounds.
·sites.research.google·
Tone Transfer — Magenta DDSP
feelskunaman
feelskunaman
A tool for visualizing emotions in music using a Python wrapper for Spotify API. Independent post-baccalaureate research by Nick Stapleton. For Kunaveer, a friend.
·github.com·
feelskunaman
GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
·github.com·
GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
SOME
SOME
SOME: Singing-Oriented MIDI Extractor.
·github.com·
SOME
compIAM
compIAM
Common tools for the computational analysis of Indian Art Music
·github.com·
compIAM
ScorePerformer
ScorePerformer
ScorePerformer: Expressive Piano Performance Rendering with Fine-Grained Control (ISMIR 2023)
·github.com·
ScorePerformer
AlignmentDuration
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.
·github.com·
AlignmentDuration