Zafar的Python音频函数用于音频信号分析:STFT、逆STFT、mel滤波器组、mel频谱图、MFCC、CQT核、CQT频谱图、CQT色图、DCT、DST、MDCT、逆MDCT。
mel-frequency-cepstral-coefficients 开源项目推荐(22 个)
mel-frequency-cepstral-coefficients 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 22 个仓库使用语音 MFCC 和 GMM 的说话人识别
Matlab 中用于音频信号分析的 Zafar 音频函数:STFT、逆 STFT、mel 滤波器组、mel 频谱图、MFCC、CQT 核、CQT 频谱图、CQT 色度图、DCT、DST、MDCT、逆 MDCT。
Deep Learning model for lexical stress detection in spoken English
Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.
Functions for creating speech features in MATLAB.
Speech Emotion Recognition using Deep Learning
Julia 中用于音频信号分析的 Zafar 音频函数:STFT、逆 STFT、CQT 核、CQT 频谱图、CQT 色度图、MFCC、DCT、DST、MDCT、逆 MDCT。
Speech Recognition on Spoken Digit Dataset using Bidirectional LSTM Model in PyTorch.
Mel Frequency Cepstral Coefficients (MFCCs) are a feature widely used in automatic speech and speaker recognition. They were introduced by Davis and Mermelstein in the 1980s, and have been state-of-the-art ever since. In this project, we have implemented MFCC feature extraction in Matlab.
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals
Edge AI KWS on esp32s3 with DS-CNN model, TFlite Micro, ESP-NN SIMD, MFCC preprocessing
Statistical Methods in Artificial Intelligence course project on implementing the paper Music Genre Classification by Haggblade et al (http://cs229.stanford.edu/proj2011/HaggbladeHongKao-MusicGenreClassification.pdf)
A python script that implements an automatic speech recognision system.
Overall process of speech signal processing (Mel-spectrogram & MFCCs) and loading data using Pytorch dataloader
Voice Id Door Lock Web-App is a Speaker-Identification and Sentence-Verification using Voice MFCCs Feature and GMM
Spectral Feature Extraction for Robust Network Intrusion Detection Using MFCCs
A tool for instrument recognition.
Using Mel-frequency cepstral coefficients (MFCCs) for feature extraction and deep learning model for prediction
📖 Source Code for the book Building Machine Learning Systems with Python
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/mel-frequency-cepstral-coefficients。
- 该话题在 GitHub 上共有 22 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 279 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
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