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researcher

Mirko Hannemann

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1
  • cs.SD1

identity via Semantic Scholar / OpenAlex

most citedSpace-Efficient Representation of Entity-centric Query Language Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023

Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization

Zhihong Lei, Ernest Pusateri, Shiyi Han +8

Recent advances in deep learning and automatic speech recognition have improved the accuracy of end-to-end speech recognition systems, but recognition of personal content such as c…

cs.SD2023

Acoustic Model Fusion for End-to-end Speech Recognition

Zhihong Lei, Mingbin Xu, Shiyi Han +8

Recent advances in deep learning and automatic speech recognition (ASR) have enabled the end-to-end (E2E) ASR system and boosted the accuracy to a new level. The E2E systems implic…

cs.CL2022★ 1 cited

Space-Efficient Representation of Entity-centric Query Language Models

Christophe Van Gysel, Mirko Hannemann, Ernest Pusateri +2

Virtual assistants make use of automatic speech recognition (ASR) to help users answer entity-centric queries. However, spoken entity recognition is a difficult problem, due to the…

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