iPRoBe-lab / 1D-Triplet-CNNLinks
PyTorch implementation of the 1D-Triplet-CNN neural network model described in Fusing MFCC and LPC Features using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals by A. Chowdhury, and A. Ross.
☆30Updated 5 years ago
Alternatives and similar repositories for 1D-Triplet-CNN
Users that are interested in 1D-Triplet-CNN are comparing it to the libraries listed below
Sorting:
- SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow☆64Updated 4 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆106Updated 4 years ago
- Audio data augmentation examples☆34Updated 7 years ago
- MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.☆22Updated 4 years ago
- Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.☆92Updated 2 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆93Updated 4 years ago
- WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models wi…☆92Updated 4 years ago
- Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282☆95Updated 7 years ago
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆45Updated last year
- Learning discriminative and robust time-frequency representations for environmental sound classification: Convolutional neural networks (…☆30Updated 5 years ago
- A new comprehensive and diverse few-shot acoustic classification benchmark.☆64Updated 10 months ago
- Classification of Urban Sound Audio Dataset using LSTM-based model.☆74Updated 2 years ago
- DCASE2020 Task2 Self-supervised learning solution☆34Updated 4 years ago
- Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders☆19Updated 2 years ago
- Sound event detection with depthwise separable and dilated convolutions.☆53Updated 5 years ago
- DCASE 2020 Task 2 - Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring☆56Updated 5 years ago
- ☆54Updated 5 years ago
- Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)☆74Updated 4 years ago
- A two-stage polyphonic sound event detection and localization method for both SED and DOA.☆114Updated 2 years ago
- PyTorch implementation of the LEAF audio frontend☆73Updated 2 years ago
- Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features☆25Updated last year
- Accompanying code for the paper Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.☆10Updated 3 years ago
- ☆18Updated 2 years ago
- Audio classification via transfer learning☆33Updated 5 years ago
- Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurren…☆22Updated 5 years ago
- Speech Commands Recognition using end-to-end deep learning models in pytorch☆27Updated 4 years ago
- Multimodal speech recognition using lipreading (with CNNs) and audio (using LSTMs). Sensor fusion is done with an attention network.☆69Updated 2 years ago
- Spectra extraction tutorials based on torch and torchaudio.☆41Updated 2 years ago
- Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP…☆60Updated 4 years ago
- DCASE2020 Challenge Task 2 baseline system☆107Updated 2 years ago