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Qiao Liang

9 papers hereh-index 151.3k citations69 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.AS5
  • cs.CL4
same name
  • Qiao Liang — 8 papers, h 9
  • Qiao Liang — 3 papers, h 1
  • Qiao Liang — 3 papers, h 3
  • Qiao Liang — 2 papers, h 3
  • Qiao Liang — 2 papers, h 2
  • Qiao Liang — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedOptimizing Speech Recognition For The Edge

58 citations · 65 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2022

Streaming Intended Query Detection using E2E Modeling for Continued Conversation

Shuo-yiin Chang, Guru Prakash, Zelin Wu +7

In voice-enabled applications, a predetermined hotword isusually used to activate a device in order to attend to the query.However, speaking queries followed by a hotword each time…

cs.CL2020★ 3 cited

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency

Tara N. Sainath, Yanzhang He, Bo Li +26

Thus far, end-to-end (E2E) models have not been shown to outperform state-of-the-art conventional models with respect to both quality, i.e., word error rate (WER), and latency, i.e…

cs.CL2019★ 58 cited

Optimizing Speech Recognition For The Edge

Yuan Shangguan, Jian Li, Qiao Liang +2

While most deployed speech recognition systems today still run on servers, we are in the midst of a transition towards deployments on edge devices. This leap to the edge is powered…

cs.CL2019

Two-Pass End-to-End Speech Recognition

Tara N. Sainath, Ruoming Pang, David Rybach +9

The requirements for many applications of state-of-the-art speech recognition systems include not only low word error rate (WER) but also low latency. Specifically, for many use-ca…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.