Results 1 to 10 of about 3,404,666 (322)
Heliyon, 2023 Speech recognition is the foundation of human-computer interaction technology and an important aspect of speech signal processing, with broad application prospects. Therefore, it is very necessary to recognize speech.
Shaohua Jiang, Zheng Chen
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Perception of interrupted speech and text: Listener and modality factorsa) [PDF]
JASA Express Letters, 2022 Interrupted speech and text are used to measure processes of linguistic closure that are important for recognition under adverse backgrounds. The present study compared recognition of speech and text that had been periodically interrupted with matched ...
Daniel Fogerty +2 more
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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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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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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 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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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
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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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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
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Audio-visual speech recognition with background music using single-channel source separation [PDF]
, 2012 In this paper, we consider audio-visual speech recognition with background music. The proposed algorithm is an integration of audio-visual speech recognition and single channel source separation (SCSS). We apply the proposed algorithm to recognize spoken
Erdogan, Hakan +4 more
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