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Search results for python mfcc

29 search results found

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Aubio ⭐ 3,082

a library for audio and music analysis

Audioflux ⭐ 1,968

A library for audio and music analysis, feature extraction.

Emotion Recognition Using Speech ⭐ 392

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

🔉 spafe: Simplified Python Audio Features Extraction

Speech_signal_processing_and_classification ⭐ 203

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of th

Pyaudioprocessing ⭐ 175

Audio feature extraction and classification

Kaldifeat ⭐ 161

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

Diffsptk ⭐ 142

A differentiable version of SPTK

Voice Based Gender Recognition ⭐ 122

🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

Subsync ⭐ 113

Synchronize your subtitles using machine learning

Speaker Identification ⭐ 76

A program for automatic speaker identification using deep learning techniques.

Python_kaldi_features ⭐ 39

python codes to extract MFCC and FBANK speech features for Kaldi

A implementation of Power Normalized Cepstral Coefficients: PNCC

Pytorch Mfcc ⭐ 30

A pytorch implementation of MFCC.

Alignmentduration ⭐ 23

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.

Dtw_digital_voice_recognition ⭐ 21

基于DTW与MFCC特征进行数字0-9的语音识别，DTW，MFCC，语音识别，中英数据，端点检测，D Voice Recognition。

Fragit Main ⭐ 20

FragIt main repository

Audio Genre Classification ⭐ 12

Automatic music genre classification using Machine Learning algorithms like- Logistic Regression and K-Nearest Neighbours

Speech_signal_processing ⭐ 11

A Python 2.7 implementation of Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) algorithms for Automated Speech Recognition (ASR).

Voice Based Speaker Identification ⭐ 11

🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM

Zaf Python ⭐ 11

Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Gmm_digital_voice_recognition ⭐ 8

基于GMM与MFCC特征进行数字0-9的语音识别，GMM，MFCC，语音识别，中文数据，sklear Voice Recognition。

Spoken Language Identification ⭐ 6

Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features

Spoken Digit Recognition ⭐ 6

Classifying English spoken digit by Hidden Markov Model

🎙🔊 DCNN for immersive soundscapes in AR environments

Speech Accent Detection ⭐ 6

The human speaks a language with an accent. A particular accent necessarily reflects a person's linguistic background. The model defines accent based audio record. The result of the model could be used to determine accents and help decrease accents to English learning students and improve accents by training.

Voice_actor_recog ⭐ 5

Extract MFCC from movie files and detect speaker using it

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