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Parisa Haghani

16 papers hereh-index 174.6k citations27 works total

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

author position
  • first author1
  • middle author10
  • last author3

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • eess.AS7
  • cs.LG1
same name
  • Parisa Haghani — 1 paper, h 10

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
20182024
most citedLingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

184 citations · 337 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

eess.AS2022

Accelerating RNN-T Training and Inference Using CTC guidance

Yongqiang Wang, Zhehuai Chen, Chengjian Zheng +3

We propose a novel method to accelerate training and inference process of recurrent neural network transducer (RNN-T) based on the guidance from a co-trained connectionist temporal…

eess.AS2022

Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification

Chao Zhang, Bo Li, Tara Sainath +4

Language identification is critical for many downstream tasks in automatic speech recognition (ASR), and is beneficial to integrate into multilingual end-to-end ASR as an additiona…

eess.AS2022

A Language Agnostic Multilingual Streaming On-Device ASR System

Bo Li, Tara N. Sainath, Ruoming Pang +9

On-device end-to-end (E2E) models have shown improvements over a conventional model on English Voice Search tasks in both quality and latency. E2E models have also shown promising…

eess.AS2022★ 1 cited

Unsupervised Data Selection via Discrete Speech Representation for ASR

Zhiyun Lu, Yongqiang Wang, Yu Zhang +3

Self-supervised learning of speech representations has achieved impressive results in improving automatic speech recognition (ASR). In this paper, we show that data selection is im…

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