Topic: mel-spectrogram Goto Github
Some thing interesting about mel-spectrogram
Some thing interesting about mel-spectrogram
mel-spectrogram,Framework for one-shot multispeaker system based on Deep Learning
Organization: adasegroup
mel-spectrogram,A tensorflow application of CNN based music genre classifier which classifies an audio clip based on it's Mel Spectrogram and a RestAPI for inference using tensorflow serving
User: ajaykumar99
mel-spectrogram,Speech Emotion Recognition (SER) using CNNs and CRNNs Based on Mel Spectrograms and Mel Frequency Cepstral Coefficients (MFCCs)
User: amirragab-ds
Home Page: https://datascrutineer.com/speech-emotion-recognition-cnns-tensorflow/
mel-spectrogram,Music Pace Compatibility Project
User: andyharless
mel-spectrogram,In this project we use a Lightweight-CNN based model to classify instruments from the Freesound audio data set. We make use of Mel-Spectrogram features from the input audio data as the input to the CNN model. To add robustness to the model, we use a novel data augmentation technique based on the Cut-Mix algorithm.
User: anirudhs123
Home Page: https://anirudhs123.github.io/ Music-Instrument-Classification/
mel-spectrogram,This repository contains different CNN methods for audio classification. It starts with canceling noise from audio. Then it converts the audio into a mel-spectrogram and trains with CNN models.
User: awal-ahmed
mel-spectrogram,Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.
User: baggepinnen
Home Page: http://lup.lub.lu.se/record/ac32368e-e199-44ff-b76a-36668ac7d595
mel-spectrogram,Leveraged Dynamic Time Warping (DTW) to assess the similarity between specific audio tracks
User: balajirvp
mel-spectrogram,Bali has a diversity of arts that has been recognized by the world, where one of the most famous Balinese arts is the Karawitan art, especially the Kendang Tunggal instrument. Notation documentation or more commonly known as music transcription, can make learning a song easier, and in the case of this research, it makes it easier to learn to play the Kendang Tunggal instrument. The first approach method used to document a kendang tunggal song is onset detection. Onset is when the signal experiences an attack period, which helps segment the sound color of the drum instrument. The segmented kendang tunggal sound color classification uses the Backpropagation algorithm with several features of the frequency domain and time domain as a characteristic of the sound color. Then the kendang tunggal song is revived into a synthetic sound with the Mel Spectral Approximation filter. Based on the research, the optimal parameter for drum sound color segmentation with onset detection is the hop size 110 with normalization of the features on its onset detection function. The optimal backpropagation architecture obtained with a learning rate of 0.9, neurons 10, and epoch 2000 produces an accuracy of 60.85%. The synthesis method using the Mel Log Spectrum Approximation can make synthetic sounds similar to kendang songs with an accuracy of 83.33%
User: bayuwira
mel-spectrogram,Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
User: bshakhovsky
Home Page: https://magenta.tensorflow.org/onsets-frames
mel-spectrogram,Speech emotion recognition models for the Moody web application.
Organization: coins-ss21
Home Page: https://moody.digital
mel-spectrogram,Convert audio file to melgram (that is, mel-spectrogram) in .NET
User: cschen1205
mel-spectrogram,CNN 1D vs 2D audio classification
User: cvxtz
mel-spectrogram,This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
Organization: data-science-kosta
mel-spectrogram,Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.
User: ddman1101
mel-spectrogram,A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.
User: echocatzh
mel-spectrogram,My best submission to this Kaggle contest
User: filipmu
mel-spectrogram,基于梅尔频谱的信号分类和识别
User: friedrich-m
mel-spectrogram,🎶💻 Classification of short music clips into different music genres using Feedforward and Convolutional Neural Networks.
User: giannisdravilas
mel-spectrogram,Speech Recognition and Voice Activity Detection using a Convolutional Neural Network Architecture built with Tensorflow.js
User: goepfert
Home Page: https://goepfert.github.io/audio_features/
mel-spectrogram,Speech Emotion Recognition using Deep Learning
User: kanikesaiprakash
mel-spectrogram,Cough detection with Log Mel Spectrogram, Wavelet Transform, Deep learning and Transfer learning techniques
User: keerthiraj-nagaraj
mel-spectrogram,This repository contains the Python code for a audio classification system designed to detect gunshots in urban settings.
User: mariamkhmahran
mel-spectrogram,[Big Data] Detection of Animal Species in Tropical Soundscapes
User: matmatromero
mel-spectrogram,Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI
User: mikex86
mel-spectrogram,This study converts piano recordings to mel spectrogram and classifies them by SOTA pre-trained neural network backbones in CV. Comparative experiments show that SqueezeNet achieves a best classification accuracy of 92.37%.|该项目将钢琴录音转为为mel频谱图,使用微调后的前沿计算机视觉领域预训练深度学习骨干网络对其进行分类,对比实验可知SqueezeNet作为最优网络正确率可达92.37%
User: monetjoe
Home Page: https://www.modelscope.cn/models/ccmusic-database/pianos/resolve/master/mat.jpg
mel-spectrogram,Embed chiptunes in 2D with Convolutional Auto Encoder and Mel Spectrograms
User: mtxslv
mel-spectrogram,A simple audio feature extraction library
Organization: mycroftai
mel-spectrogram,This project was for the pattern recognition course I studied in college. This was the beginning of dealing with neural networks and 2 CNN models were made, 1-d model and 2-d model to deal with different forms of the data, audio and image, respectively.
User: nouranhisham
mel-spectrogram,A pet project on music genre classification. Assigning the correct genre to the provided audio track.
User: poludmik
mel-spectrogram,Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
User: rednafi
mel-spectrogram,Step onto the stage with Saxophone Hero, where your tenor saxophone is the key to unlocking a rhythmic adventure through a world of sheet music. In this game, your character scores points by hitting the right notes. Powered by machine learning, the game captures the pitch from your saxophone and translates it to player movement in real time.
User: reece-iriye
mel-spectrogram,Master's Thesis: Automatic Tagging of Musical Compositions Using Machine Learning Methods
User: renesemela
mel-spectrogram,Deep Multi-Speech model
User: ricardokleinklein
Home Page: https://github.com/ricardokleinklein/deepMultiSpeech
mel-spectrogram,Music genre classification with CNN (exam project)
User: riccardomalpiedi
mel-spectrogram,Compute the MFCCs and measure (dis)similarity between two audio files using DTW
User: rumeysakeskin
mel-spectrogram,This Model analyzes and predicts the input sound and then using pretrained ANC systems cancels the input sound.
User: sh3r4zhassan
mel-spectrogram,Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu
User: sharad24
mel-spectrogram,Analyzing Vibrational Data of the System using Machine Learning
User: simplekidd
mel-spectrogram,Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound
User: skanderhamdi
mel-spectrogram,Easier audio-based machine learning with TensorFlow.
Organization: spotify
mel-spectrogram,Music genre recognition with Convolutional Neural Networks (CNN) using Mel Spectrograms
User: themiscodes
mel-spectrogram,End-2-end speech synthesis with recurrent neural networks
User: tiberiu44
Home Page: https://tiberiu44.github.io/TTS-Cube/
mel-spectrogram,An end-to-end speech recognition engine similar to DeepSpeech2
User: to-schi
mel-spectrogram,Open Source Implementation of Neural Voice Cloning with Few Audio Samples (Baidu Research)
Organization: visionbrain
Home Page: https://visionbrain.github.io/voicecloning/
mel-spectrogram,Basic wavenet and fftnet vocoder model.
User: yoyololicon
mel-spectrogram,Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.
User: zafarrafii
Home Page: http://zafarrafii.com/
mel-spectrogram,Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
User: zafarrafii
Home Page: http://zafarrafii.com/
mel-spectrogram,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.
User: zafarrafii
Home Page: http://zafarrafii.com/
mel-spectrogram,Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.
User: zzw922cn
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