DemisEom / SpecAugmentLinks
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
β653Updated 3 years ago
Alternatives and similar repositories for SpecAugment
Users that are interested in SpecAugment are comparing it to the libraries listed below
Sorting:
- π¦ A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognitionβ497Updated 4 years ago
- End-to-end ASR/LM implementation with PyTorchβ596Updated 4 years ago
- PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.β589Updated 3 years ago
- A library for speech data augmentation in time-domainβ671Updated 4 years ago
- Problem Agnostic Speech Encoderβ444Updated 2 years ago
- Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196β320Updated 4 years ago
- Utterance-level Aggregation For Speaker Recognition In The Wildβ370Updated 2 years ago
- A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.β203Updated 6 years ago
- Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"β368Updated 3 years ago
- SincNet is a neural architecture for efficiently processing raw audio samples.β1,196Updated 4 years ago
- Python functions for reading kaldi data formats. Useful for rapid prototyping with python.β377Updated 2 years ago
- End-to-End Automatic Speech Recognition on PyTorchβ301Updated 3 years ago
- Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.β516Updated 3 years ago
- A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutaβ¦β726Updated 2 years ago
- [InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei β¦β208Updated 2 years ago
- Time delay neural network (TDNN) implementation in Pytorch using unfold methodβ203Updated 5 years ago
- Speech Enhancement Generative Adversarial Network in PyTorchβ400Updated 2 years ago
- A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.β803Updated 2 years ago
- Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.β1,082Updated 8 months ago
- UrbanSound classification using Convolutional Recurrent Networks in PyTorchβ388Updated 4 years ago
- Official repository for RawNet, RawNet2, and RawNet3β388Updated last year
- Speaker embedding(verification and recognition) using Pytorchβ370Updated 5 years ago
- End-to-End Neural Diarizationβ406Updated 4 years ago
- This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly iβ¦β465Updated 4 years ago
- A No-Recurrence Sequence-to-Sequence Model for Speech Recognitionβ379Updated 3 years ago
- Towards hot directions in industrial end to end speech recognitionβ327Updated 3 years ago
- Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.β863Updated 4 years ago
- This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytβ¦β1,208Updated 4 years ago
- Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.β541Updated 11 months ago
- The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the numberβ¦β549Updated last year