Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU154969" target="_blank" >RIV/00216305:26230/24:PU154969 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-archive.org/interspeech_2024/yusuf24_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2024/yusuf24_interspeech.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2024-298" target="_blank" >10.21437/Interspeech.2024-298</a>
Alternative languages
Result language
angličtina
Original language name
Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models
Original language description
This paper explores speculative speech recognition (SSR), where we empower conventional automatic speech recognition (ASR) with speculation capabilities, allowing the recognizer to run ahead of audio. We introduce a metric for measuring SSR performance and we propose a model which does SSR by com bining a RNN-Transducer-based ASR system with an audioprefixed language model (LM). The ASR system transcribes ongoing audio and feeds the resulting transcripts, along with an audiodependent prefix, to the LM, which speculates likely completions for the transcriptions. We experiment with a variety of ASR datasets on which show the efficacy our method and the feasibility of SSR as a method of reducing ASR latency.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Interspeech 2024
ISBN
—
ISSN
1990-9772
e-ISSN
—
Number of pages
5
Pages from-to
792-796
Publisher name
International Speech Communication Association
Place of publication
Kos
Event location
Kos
Event date
Sep 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—