acoustic-features

There are 0 repository under acoustic-features topic.

bshall / ZeroSpeech
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
pytorch vq-vae voice-conversion zerospeech acoustic-features speech-synthesis
Language:Python 310
kykiefer / depression-detect
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
convolutional-neural-networks depression speech cnn spectrogram acoustic-features
Language:Python 274
Shahabks / myprosody
A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.
speech-analysis voice-recognition acoustic-features prosody phonemes speech-patterns python-library acoustic-model
Language:Python 217
bshall / VectorQuantizedCPC
Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion
acoustic-features contrastive-predictive-coding pytorch speech-synthesis voice-conversion vq-vae zerospeech
Language:Python 137
kahst / AcousticEventDetection
Source code complementing our paper for acoustic event classification using convolutional neural networks.
acoustic-event-detection spectrogram convolutional-neural-networks audio acoustic-scenes acoustic-features
Language:Python 61
alicex2020 / Deep-Learning-Lie-Detection
Use machine learning models to detect lies based solely on acoustic speech information
acoustic-features deep-learning ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model lie-detector machine-learning mfcc mfcc-analysis pitch-tracking support-vector-machines
Language:Jupyter Notebook 41
HumBug-Mosquito / HumBugDB
Acoustic mosquito detection code with Bayesian Neural Networks
feature-extraction bayesian-neural-networks pytorch audio acoustic-features acoustic-model keras-tensorflow
Language:Jupyter Notebook 40
jim-schwoebel / sound_event_detection
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
acoustic-features acoustic-fingerprinting acoustic-model acoustics audioset common-voice common-voice-tool event-detection machine-learning neurolex object-detection object-detection-accuracy object-detection-label object-detection-pipelines sound-event-detection surveylex voice-computing voicebook
Language:Python 35
naplab / naplib-python
Tools and functions for neural data processing and analysis in python
neuroscience neuroscience-methods acoustic-features auditory-cortex auditory-stimuli python
Language:Python 17
QinggangSUN / keras_multiple_target_recognition
keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.
deep-learning multiple-targets recognition complex-valued-convolution complex-valued-neural-networks keras-tensorflow acoustic-features
Language:Python 17
MozzBNN
HumBug-Mosquito / MozzBNN
A BCNN prediction pipeline to discover mosquito sounds from audio.
audio acoustic-model acoustic-scene-classification acoustic-features bayesian-neural-networks
Language:Jupyter Notebook 10
rymshasaeed / Ensemble-Learner-for-Engine-Fault-Diagnosis
An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of acoustic and vibration Signals
acoustic-features bagged-decision-tree-classification ensemble-learning fault-diagnosis visual-dot-pattern
Language:MATLAB 10
itmo-mbss-lab / sr_labs_book
The project is related to the development of labs for the ITMO Speaker Recognition Course.
acoustic-features calibration decision-theory deep-neural-networks domain-adaptation embedding-models machine-learning speaker-identification speaker-recognition speaker-verification voice-activity-detection voice-biometrics
Language:Jupyter Notebook 9
hahnec / multimodal_emg
Multimodal Exponentially Modified Gaussians with Optional Oscillation
acoustic-features acoustics exponentially-modified-gaussian feature-engineering multimodal regression oscillation oscillations superposition regression-models gaussian-mixture-models mixture-model
Language:Jupyter Notebook 5
ymtoo / AcousticFeatures.jl
Acoustic features in Julia
acoustic-features time-series
Language:Julia 5
dhanashribhole / Acoustic-Sentiment-Analysis
Acoustic sentiment analysis for emotion classification
convolutional-neural-networks sentiment-analysis voice-analysis acoustic-features
Language:Python 4
buddhiW / AdaptiveNet
A dynamically adaptable neural network-based replay spoofing attack detection system.
acoustic-features adaptive-filtering artificial-intelligence auditory-model convolutional-neural-networks deep-learning pytorch recurrent-neural-networks residual-networks speaker-verification speech-processing
Language:Python 3
fuzhenfz / Calculate-Temporal-and-Spectral-Envelope-of-Vowel
Calculate temporal and spectral envelope of vowel
speech-analysis acoustic-features
Language:MATLAB 3
rshnn / song-success-predictor
predicting music track success (revenue) via acoustic and metadata features
acoustic-features ontology
Language:Jupyter Notebook 3
talhanai / acousticfeatures-fhs
Script to extract acoustic features from speech using OpenSmile toolkit.
opensmile features speech-processing acoustic-features
Language:PHP 3
Megha-Bose / Music-Popularity-Analysis
Extracting and analyzing acoustic and lyrical features of popular music on Spotify and study their relationship with their performance in terms of number of weekly plays.
acoustic-features data-analysis music-popularity-analysis
Language:Jupyter Notebook 1
itmo-mbss-lab / dsp_labs_book
The project is related to the development of labs for the ITMO Digital Signal Processes
acoustic-features digital-filter digital-signal digital-signal-processing signal-analysis voice-activity-detection
Language:Jupyter Notebook 0
MrCerealKiller / SoundMap
Mobile application that uses audio sampling to perform acoustic mapping 🔊
acoustic-features android localization localization-tool mapping mapping-tools
Language:Java 0
arjunssat / Spotify_Analysis
Analysis the various patterns of genre people listen to,their popularity and acoustic features
acoustic-features amplitude-modulation music sound spotify analysis knn-algorithm
Language:Jupyter Notebook

acoustic-features

bshall / ZeroSpeech

kykiefer / depression-detect

Shahabks / myprosody

bshall / VectorQuantizedCPC

kahst / AcousticEventDetection

alicex2020 / Deep-Learning-Lie-Detection

HumBug-Mosquito / HumBugDB

jim-schwoebel / sound_event_detection

naplab / naplib-python

QinggangSUN / keras_multiple_target_recognition

HumBug-Mosquito / MozzBNN

rymshasaeed / Ensemble-Learner-for-Engine-Fault-Diagnosis

itmo-mbss-lab / sr_labs_book

hahnec / multimodal_emg

ymtoo / AcousticFeatures.jl

dhanashribhole / Acoustic-Sentiment-Analysis

buddhiW / AdaptiveNet

fuzhenfz / Calculate-Temporal-and-Spectral-Envelope-of-Vowel

rshnn / song-success-predictor

talhanai / acousticfeatures-fhs

Megha-Bose / Music-Popularity-Analysis

itmo-mbss-lab / dsp_labs_book

MrCerealKiller / SoundMap

arjunssat / Spotify_Analysis