lucidrains / conformerLinks
Implementation of the convolutional module from the Conformer paper, for use in Transformers
☆430Updated 2 years ago
Alternatives and similar repositories for conformer
Users that are interested in conformer are comparing it to the libraries listed below
Sorting:
- [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition☆220Updated 2 years ago
- [NeurIPS'22] Squeezeformer: An Efficient Transformer for Automatic Speech Recognition☆263Updated 2 years ago
- [Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)☆1,090Updated last year
- PyTorch implementation of "Squeezeformer: An Efficient Transformer for Automatic Speech Recognition" (NeurIPS 2022)☆148Updated 3 years ago
- UniSpeech - Large Scale Self-Supervised Learning for Speech☆470Updated last year
- Towards hot directions in industrial end to end speech recognition☆330Updated 4 years ago
- End-to-End Neural Diarization☆416Updated 4 years ago
- [InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei …☆208Updated 3 years ago
- Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".☆408Updated 3 years ago
- A CRF-based ASR Toolkit☆359Updated last month
- A Survey on Neural Speech Synthesis https://arxiv.org/pdf/2106.15561.pdf☆371Updated 4 years ago
- End-to-End Automatic Speech Recognition on PyTorch☆304Updated 3 years ago
- End-to-end ASR/LM implementation with PyTorch☆594Updated 4 years ago
- A No-Recurrence Sequence-to-Sequence Model for Speech Recognition☆378Updated 3 years ago
- a simplified version of wav2vec(1.0, vq, 2.0) in fairseq☆166Updated 5 years ago
- A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.☆203Updated 6 years ago
- Research code for the paper "Fine-tuning wav2vec2 for speaker recognition" found at https://arxiv.org/abs/2109.15053☆145Updated 3 years ago
- A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition☆238Updated 5 years ago
- Efficient Training of Audio Transformers with Patchout☆360Updated last year
- Time delay neural network (TDNN) implementation in Pytorch using unfold method☆203Updated 6 years ago
- ☆276Updated 4 years ago
- An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.☆365Updated 4 years ago
- Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196☆319Updated 5 years ago
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition☆90Updated 5 years ago
- A library for speech data augmentation in time-domain☆678Updated 4 years ago
- Conditional Diffusion Probabilistic Model for Speech Enhancement☆246Updated 2 years ago
- A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain☆656Updated 3 years ago
- PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASS…☆111Updated 3 years ago
- Speaker embedding (d-vector) trained with GE2E loss☆286Updated last year
- An open source dataset for source separation☆457Updated last year