Results 21 to 30 of about 315,110 (278)
, 2020 Previous research has shown that vocabulary size affects performance on laboratory word production tasks. Individuals who know many words show faster lexical access and retrieve more words belonging to pre-specified categories than individuals who know ...
Hintz, F., Jongman, S., Khoe, Y.
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Automatic Speech Recognition: Systematic Literature Review
IEEE Access, 2021 A huge amount of research has been done in the field of speech signal processing in recent years. In particular, there has been increasing interest in the automatic speech recognition (ASR) technology field.
Sadeen Alharbi +9 more
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WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages
Big Data Mining and Analytics, 2023 Automatic speech recognition systems are developed for translating the speech signals into the corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There is
Tripti Choudhary +2 more
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automatic speech recognition [PDF]
, 2011 Automatic speech recognition (ASR) systems convert speech from a recorded audio signal to text. Humans convert words to speech with their speech production mechanism. An ASR system aims to infer those original words given the observable signal. The most common and as of today best method is the probabilistic approach. A speech signal corresponds to any
Rainer E. Gruhn +2 more
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Audiovisual Media and Automatic Speech Recognition: A Methodological Reflection
Lychnos, 2023 This methodological reflection focuses on the use of automatic speech recognition in my ongoing research project Televising Information: The Audiovisual Communication of Government Agencies, which has been conducted in collaboration with the National ...
Emil Stjernholm
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IMPROVED AUTOMATIC LIP-READING BASED ON THE EVALUATION OF INTENSITY LEVEL OF SPEAKER’S EMOTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Automatic audio-visual speech recognition systems (AVSRs) have recently achieved tremendous success, especially in limited vocabulary tasks by far surpassing human abilities to recognize speech, especially in acoustically noisy conditions.
D. Ivanko, E. Ryumina, D. Ryumin
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Automatic speech recognition and speech variability: A review
Speech Communication, 2007 Major progress is being recorded regularly on both the technology and exploitation of automatic speech recognition (ASR) and spoken language systems. However, there are still technological barriers to flexible solutions and user satisfaction under some circumstances.
Mohamed Benzeghiba +12 more
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Exploring discrete wavelet transforms for bimodal speech recognition [PDF]
Serbian Journal of Electrical EngineeringDiscrete Wavelet Transforms (DWTs) provide time–frequency representations that are well suited for nonstationary signals such as speech. This study presents a comparison of four wavelet families (Daubechies, Symlets, Coiflets, and Biorthogonal) for ...
Marković Branko +2 more
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Information, 2023 Superficially, read and spontaneous speech—the two main kinds of training data for automatic speech recognition—appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This
Philipp Gabler +3 more
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Performance analysis and optimization of automatic speech recognition [PDF]
, 2018 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Arnau Montañés, José María +3 more
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