Results 11 to 20 of about 1,061,228 (335)
Speaker Re-identification with Speaker Dependent Speech Enhancement [PDF]
, 2020 While the use of deep neural networks has significantly boosted speaker recognition performance, it is still challenging to separate speakers in poor acoustic environments.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
core +2 more sources
Frontier Research on Low-Resource Speech Recognition Technology
Sensors, 2023 With the development of continuous speech recognition technology, users have put forward higher requirements in terms of speech recognition accuracy. Low-resource speech recognition, as a typical speech recognition technology under restricted conditions,
Wushour Slam, Yanan Li, Nurmamet Urouvas
doaj +1 more source
Effect of Time-domain Windowing on Isolated Speech Recognition System Performance [PDF]
International Journal of Electronics and Telecommunications, 2022 Speech recognition system extract the textual data from the speech signal. The research in speech recognition domain is challenging due to the large variabilities involved with the speech signal.
Ananthakrishna Thalengala +2 more
doaj +1 more source
Research Status and Prospect of Transformer in Speech Recognition
Jisuanji kexue yu tansuo, 2021 As a new deep learning algorithm framework, Transformer has attracted more and more researchers?? attention and has become a current research hotspot. Inspired by humans focusing on important things only, the self-attention mechanism in the Transformer ...
ZHANG Xiaoxu, MA Zhiqiang, LIU Zhiqiang, ZHU Fangyuan, WANG Chunyu
doaj +1 more source
Emotional Interactive Simulation System of English Speech Recognition in Virtual Context
Complexity, 2020 With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete, providing a new platform and perspective for teaching design.
Dan Li
doaj +1 more source
EURASIP Journal on Audio, Speech, and Music Processing, 2021 The performance of speech recognition systems trained with neutral utterances degrades significantly when these systems are tested with emotional speech. Since everybody can speak emotionally in the real-world environment, it is necessary to take account
Masoud Geravanchizadeh +2 more
doaj +1 more source
Non-autoregressive Transformer Chinese Speech Recognition Incorporating Pronunciation- Character Representation Conversion [PDF]
Jisuanji kexue, 2023 The Transformer based on self-attention mechanism shows powerful model performance in speech recognition tasks,where the non-autoregressive Transformer automatic speech recognition model has a faster decoding speed compared with the autoregressive model ...
TENG Sihang, WANG Lie, LI Ya
doaj +1 more source
All Politics is Local: The Renminbi's Prospects as a Future Global Currency [PDF]
, 2000 . In this article we describe methods for improving the RWTH German speech recognizer used within the VERBMOBIL project. In particular, we present acceleration methods for the search based on both within-word and across-word phoneme models. We also study
A Sixtus +16 more
core +3 more sources
Design and implementation of a user-oriented speech recognition interface: the synergy of technology and human factors [PDF]
, 1994 The design and implementation of a user-oriented speech recognition interface are described. The interface enables the use of speech recognition in so-called interactive voice response systems which can be accessed via a telephone connection.
Kloosterman, Sietse H.
core +4 more sources
Gazi Üniversitesi Fen Bilimleri Dergisi, 2019 Speech is a paramount means of communication among humans, which makes recognition of the speech by computers is a study area of significance. In this research area, many studies have been carried out based on different languages.
Saadin OYUCU +2 more
doaj +1 more source