CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
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Updated
Aug 19, 2024 - Python
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
Deep Neural Pitch Extractor for Voice Conversion and TTS Training
ONNX deployment of the CREPE pitch tracker
collection of pitch (f0, fundamental frequency) detection algorithms with unified interface
[ICASSP 2025] AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder
Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent
It is a Pitch Determination Algorithm based on Short-time Autocorrelation and Shortest-distance Search
Some state-of-the-art music information retrieval techniques written in Python
This file can recognize chords or pitch by getting audio. A Tkinter UI window is created for easy use.
Waveform Audio Fundamental Frequency Learner. A novel ML model for pitch estimation.
Fuzzy Frequencies is a framework to analyse the pitch content of symbolic encodings and multiple f0 estimations. Multiple f0 estimators are algorithms that extract the fundamental frequencies of multiple voices and instruments in an audio recording.
🪥 Visualize plaque in real-time with the PIT toothbrush, combining a micro-camera and AI for effective oral hygiene.
Adaptation of the work《Frequency-Temporal Attention Network for Singing Melody Extraction
Fix for Praat pitch tracks extracted in macOS machines.
analyze audio files and estimate the frequecy of A4 (concert pitch)
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