Results 11 to 20 of about 275,421 (290)
Frontier Research on Low-Resource Speech Recognition Technology. [PDF]
Sensors (Basel), 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,
Slam W, Li Y, Urouvas N.
europepmc +2 more sources
International Journal of Networked and Distributed Computing (IJNDC), 2021 This study compared and analyzed the speech recognition performance of Korean phonological rules for cloud-based Open APIs, and analyzed the speech recognition characteristics of Korean phonological rules.
Hyun Jae Yoo +3 more
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The effect of speech pathology on automatic speaker verification: a large-scale study
Scientific Reports, 2023 Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutions, they come with inherent risks of potential unintended exposure of ...
Soroosh Tayebi Arasteh +5 more
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A Deep Learning Method Using Gender-Specific Features for Emotion Recognition
Sensors, 2023 Speech reflects people’s mental state and using a microphone sensor is a potential method for human–computer interaction. Speech recognition using this sensor is conducive to the diagnosis of mental illnesses.
Li-Min Zhang +5 more
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A Hybrid Speech Enhancement Algorithm for Voice Assistance Application
Sensors, 2021 In recent years, speech recognition technology has become a more common notion. Speech quality and intelligibility are critical for the convenience and accuracy of information transmission in speech recognition.
Jenifa Gnanamanickam +2 more
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Implicit learning and individual differences in speech recognition: an exploratory study
Frontiers in Psychology, 2023 Individual differences in speech recognition in challenging listening environments are pronounced. Studies suggest that implicit learning is one variable that may contribute to this variability. Here, we explored the unique contributions of three indices
Ranin Khayr, Hanin Karawani, Karen Banai
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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
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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
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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
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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
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