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Ming Lei

13 papers here

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

author position
  • middle author12
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.SD6
  • eess.AS4
  • cs.CL2
  • cs.NE1
same name
  • Ming Lei — 3 papers
  • Ming Lei — 2 papers
  • Ming Lei — 2 papers
  • Ming Lei — 1 paper
  • Ming Lei — 1 paper

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
20182022
most citedStreaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition

13 citations · 41 across the 7 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2022

ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech

Yi Ren, Ming Lei, Zhiying Huang +4

Expressive text-to-speech (TTS) has become a hot research topic recently, mainly focusing on modeling prosody in speech. Prosody modeling has several challenges: 1) the extracted p…

eess.AS2020

DeviceTTS: A Small-Footprint, Fast, Stable Network for On-Device Text-to-Speech

Zhiying Huang, Hao Li, Ming Lei

With the number of smart devices increasing, the demand for on-device text-to-speech (TTS) increases rapidly. In recent years, many prominent End-to-End TTS methods have been propo…

eess.AS2019★ 9 cited

Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition

Shiliang Zhang, Ming Lei, Zhijie Yan

Connectionist Temporal Classification (CTC) based end-to-end speech recognition system usually need to incorporate an external language model by using WFST-based decoding in order…

eess.AS2018

Linear networks based speaker adaptation for speech synthesis

Zhiying Huang, Heng Lu, Ming Lei +1

Speaker adaptation methods aim to create fair quality synthesis speech voice font for target speakers while only limited resources available. Recently, as deep neural networks base…

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