guglielmocamporese / learning_invariances_in_speech_recognitionLinks
In this work I investigate the speech command task developing and analyzing deep learning models. The state of the art technology uses convolutional neural networks (CNN) because of their intrinsic nature of learning correlated represen- tations as is the speech. In particular I develop different CNNs trained on the Google Speech Command Dataset…
☆19Updated 7 years ago
Alternatives and similar repositories for learning_invariances_in_speech_recognition
Users that are interested in learning_invariances_in_speech_recognition are comparing it to the libraries listed below
Sorting:
- 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
- Feature extractor for DL speech processing.☆66Updated 3 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
- Python library for audio augmentation☆84Updated 2 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
- Code for Speaker Change Detection in Broadcast TV using Bidirectional Long Short-Term Memory Networks☆65Updated 5 years ago
- Use your data to create a speech recognition system in Kaldi. Fast.☆65Updated 5 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆95Updated 5 years ago
- PyTorch reimplementation of per-channel energy normalization for audio.☆101Updated 6 years ago
- Spectra extraction tutorials based on torch and torchaudio.☆41Updated 2 years ago
- Python implementation of pre-processing for End-to-End speech recognition☆69Updated 7 years ago
- Baseline systems for the FSD50K dataset☆69Updated 4 years ago
- fast SpecAugmentation code with numpy and scipy☆31Updated 6 years ago
- End to End Dialect Identification using Convolutional Neural Network☆52Updated 5 years ago
- Tensor2tensor experiment with SpecAugment☆46Updated 6 years ago
- Benchmark for sound event localization task of DCASE 2019 challenge☆77Updated 4 years ago
- Deep Neural Network for Speaker Count Estimation☆156Updated 5 years ago
- Pytorch based phoneme recognition (TIMIT phoneme classification)☆35Updated 7 years ago
- PyTorch end-to-end speech recognition☆49Updated 4 years ago
- A Python toolbox for speech features extraction☆165Updated 2 years ago
- 1st place solution to the DCASE 2019 - Task 5 - Urban Sound Tagging☆30Updated 4 years ago
- HTK features in Python☆73Updated 6 years ago
- A PyTorch 1.0 implementation of the convolutions described in SincNet☆33Updated 6 years ago
- Audio data augmentation examples☆34Updated 7 years ago
- A fully convolution-network for speech-to-text, built on pytorch.☆126Updated 5 years ago
- ☆24Updated 6 years ago
- Code for the paper: "Leveraging speaker attribute information using multi task learning for speaker verification and diarization" present…☆25Updated 2 years ago
- A collection of common functionality to simplify the design, training and evaluation of machine learning models based on pytorch with an …☆71Updated last month
- This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and dec…☆38Updated 7 years ago
- An advance kaldi wrapper for Pyhton☆38Updated 4 years ago