vishalshar / Audio-Classification-using-CNN-MLP
Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
☆65Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Audio-Classification-using-CNN-MLP
- CNN 1D vs 2D audio classification☆104Updated 5 years ago
- Classification of Urban Sound Audio Dataset using LSTM-based model.☆72Updated 2 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆92Updated 4 years ago
- Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.☆65Updated 9 months ago
- ☆53Updated 6 years ago
- Environmental sound classification using Deep Learning with extracted features☆164Updated 4 years ago
- Multi-class audio classification with MFCC features using CNN☆28Updated 4 years ago
- ☆21Updated 4 years ago
- A two-stage polyphonic sound event detection and localization method for both SED and DOA.☆107Updated last year
- Audio classification via transfer learning☆32Updated 5 years ago
- Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From I…☆58Updated 3 years ago
- The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)☆36Updated 2 years ago
- It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data co…☆55Updated 5 years ago
- Tensorflow implementation for Speech Enhancement (DDAE)☆47Updated 6 years ago
- ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples☆41Updated 5 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆103Updated 3 years ago
- Urban sounds classification with Covnolutional Neural Networks☆36Updated 5 years ago
- Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features☆27Updated 3 months ago
- Audio feature extraction and multi-classification with the ECS-10 data set☆21Updated 6 years ago
- This model is designed Using GMM and MFCC and tested with Hindi/English audio samples with a good resultant accuracy.☆13Updated 4 years ago
- Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)☆72Updated 3 years ago
- ☆15Updated 4 years ago
- Pytorch code for "Rethinking CNN Models for Audio Classification"☆123Updated 3 years ago
- Baseline of DCASE 2020 task 4☆42Updated 2 years ago
- ESC: Dataset for Environmental Sound Classification - paper replication data☆76Updated 6 years ago
- Baseline method for sound event localization task of DCASE 2020 challenge☆53Updated 4 years ago
- SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow☆61Updated 4 years ago
- Speaker Recognition System using MFCC and GMM.☆24Updated 6 years ago
- Audio classification with VGGish as feature extractor in TensorFlow☆127Updated 2 years ago