Description
E-BRANCHFORMER: BRANCHFORMER WITH ENHANCED MERGING FOR SPEECH RECOGNITION
Papers Using This Method
Whale: Large-Scale multilingual ASR model with w2v-BERT and E-Branchformer with large speech data2025-06-02Late fusion ensembles for speech recognition on diverse input audio representations2024-12-01Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models2024-10-22The NPU-ASLP System Description for Visual Speech Recognition in CNVSRC 20242024-08-05Multi-Convformer: Extending Conformer with Multiple Convolution Kernels2024-07-04Low-resource speech recognition and dialect identification of Irish in a multi-task framework2024-05-02Enhancing Lip Reading with Multi-Scale Video and Multi-Encoder2024-04-08OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer2024-01-30The NPU-ASLP-LiAuto System Description for Visual Speech Recognition in CNVSRC 20232024-01-07Tensor decomposition for minimization of E2E SLU model toward on-device processing2023-06-02A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks2023-05-18The NPU-ASLP System for Audio-Visual Speech Recognition in MISP 2022 Challenge2023-03-11E-Branchformer: Branchformer with Enhanced merging for speech recognition2022-09-30