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A review of on-device fully neural end-to-end automatic speech
  recognition algorithms

A review of on-device fully neural end-to-end automatic speech recognition algorithms

14 December 2020
Chanwoo Kim
Dhananjaya N. Gowda
Dongsoo Lee
Jiyeon Kim
Ankur Kumar
Sungsoo Kim
Abhinav Garg
C. Han
ArXivPDFHTML

Papers citing "A review of on-device fully neural end-to-end automatic speech recognition algorithms"

12 / 12 papers shown
Title
Benchmarking Ultra-Low-Power $μ$NPUs
Benchmarking Ultra-Low-Power μμμNPUs
Josh Millar
Yushan Huang
Sarab Sethi
Hamed Haddadi
Anil Madhavapeddy
BDL
56
0
0
28 Mar 2025
On the compression of shallow non-causal ASR models using knowledge
  distillation and tied-and-reduced decoder for low-latency on-device speech
  recognition
On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition
Nagaraj Adiga
Jinhwan Park
Chintigari Shiva Kumar
Shatrughan Singh
Kyungmin Lee
Chanwoo Kim
Dhananjaya N. Gowda
11
1
0
15 Dec 2023
TST: Time-Sparse Transducer for Automatic Speech Recognition
TST: Time-Sparse Transducer for Automatic Speech Recognition
Xiaohui Zhang
Mangui Liang
Zhengkun Tian
Jiangyan Yi
J. Tao
9
0
0
17 Jul 2023
Macro-block dropout for improved regularization in training end-to-end
  speech recognition models
Macro-block dropout for improved regularization in training end-to-end speech recognition models
Chanwoo Kim
Sathish Indurti
Jinhwan Park
Wonyong Sung
17
0
0
29 Dec 2022
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based
  cOnversational uNderstanding
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
Niranjan Uma Naresh
Ziyan Jiang
Ankit
Sungjin Lee
Jie Hao
Xing Fan
Chenlei Guo
34
6
0
22 Oct 2022
Towards Personalization of CTC Speech Recognition Models with Contextual
  Adapters and Adaptive Boosting
Towards Personalization of CTC Speech Recognition Models with Contextual Adapters and Adaptive Boosting
Saket Dingliwal
Monica Sunkara
S. Bodapati
S. Ronanki
Jeffrey J. Farris
Katrin Kirchhoff
25
0
0
18 Oct 2022
Two-Pass End-to-End ASR Model Compression
Two-Pass End-to-End ASR Model Compression
Nauman Dawalatabad
Tushar Vatsal
Ashutosh Gupta
Sungsoo Kim
Shatrughan Singh
Dhananjaya N. Gowda
Chanwoo Kim
14
5
0
08 Jan 2022
Semi-supervised transfer learning for language expansion of end-to-end
  speech recognition models to low-resource languages
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages
Jiyeon Kim
Mehul Kumar
Dhananjaya N. Gowda
Abhinav Garg
Chanwoo Kim
6
5
0
19 Nov 2021
A comparison of streaming models and data augmentation methods for
  robust speech recognition
A comparison of streaming models and data augmentation methods for robust speech recognition
Jiyeon Kim
Mehul Kumar
Dhananjaya N. Gowda
Abhinav Garg
Chanwoo Kim
15
5
0
19 Nov 2021
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming
  E2E ASR via Supernet
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
Haichuan Yang
Yuan Shangguan
Dilin Wang
Meng Li
P. Chuang
Xiaohui Zhang
Ganesh Venkatesh
Ozlem Kalinli
Vikas Chandra
32
14
0
15 Oct 2021
Noisy Training Improves E2E ASR for the Edge
Noisy Training Improves E2E ASR for the Edge
Dilin Wang
Yuan Shangguan
Haichuan Yang
P. Chuang
Jiatong Zhou
Meng Li
Ganesh Venkatesh
Ozlem Kalinli
Vikas Chandra
4
4
0
09 Jul 2021
StableEmit: Selection Probability Discount for Reducing Emission Latency
  of Streaming Monotonic Attention ASR
StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR
H. Inaguma
Tatsuya Kawahara
15
4
0
01 Jul 2021
1