Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition

13 August 2020

Papers citing "Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition"

8 / 8 papers shown

Title
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition Theresa Pekarek-Rosin S. Wermter VLM CLL 26 2 0 14 Jul 2023
Dynamic Chunk Convolution for Unified Streaming and Non-Streaming Conformer ASR Xilai Li Goeric Huybrechts S. Ronanki Jeffrey J. Farris S. Bodapati 38 6 0 18 Apr 2023
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation Xingshan Zeng Liangyou Li Qun Liu 24 5 0 17 Dec 2022
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system Li Li Dongxing Xu Haoran Wei Yanhua Long 21 2 0 03 Nov 2022
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition P. Swietojanski Stefan Braun Dogan Can Thiago Fraga da Silva Arnab Ghoshal ... Henry Mason Erik McDermott Honza Silovsky R. Travadi Xiaodan Zhuang 37 13 0 02 Nov 2022
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition Martin H. Radfar Rohit Barnwal R. Swaminathan Feng-Ju Chang Grant P. Strimel Nathan Susanj Athanasios Mouchtaris 31 13 0 29 Sep 2022
Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition A. Andrusenko R. Nasretdinov A. Romanenko 20 18 0 16 Aug 2022
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training Wenyong Huang Zhenhe Zhang Y. Yeung Xin Jiang Qun Liu 33 23 0 25 Jan 2022