Results 11 to 20 of about 2,146 (182)
IEEE Access, 2023 Despite recent advancements in deep learning technologies, Child Speech Recognition remains a challenging task. Current Automatic Speech Recognition (ASR) models require substantial amounts of annotated data for training, which is scarce.
Rishabh Jain +5 more
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IEEE Access, 2021 We address a low-performance problem of the elderly in automatic speech recognition (ASR) through feature adaptation agnostic to the ASR. Most of the datasets for speech recognition models consist of datasets collected from adult speakers.
June-Woo Kim +2 more
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Two-Microphone Dereverberation for Automatic Speech Recognition of Polish
Archives of Acoustics, 2014 Reverberation is a common problem for many speech technologies, such as automatic speech recognition (ASR) systems. This paper investigates the novel combination of precedence, binaural and statistical independence cues for enhancing reverberant speech ...
Mikolaj KUNDEGORSKI +2 more
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Automatic Speech Recognition Errors Detection And Correction: A Review
Al-Lisaniyyat, 2016 Even though Automatic Speech Recognition (ASR) has matured to the point of commercial applications, high error rate in some speech recognition domains remain as one of the main impediment factors to the wide adoption of speech technology, and especially
Rahhal Errattahi +2 more
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Lithuanian Speech Recognition Using Purely Phonetic Deep Learning
Computers, 2019 Automatic speech recognition (ASR) has been one of the biggest and hardest challenges in the field. A large majority of research in this area focuses on widely spoken languages such as English. The problems of automatic Lithuanian speech recognition have
Laurynas Pipiras +2 more
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Assessing costa rican children speech recognition by humans and machines
Tecnología en Marcha, 2022 In recent years, an increasing number of studies on human-computer interaction is taking place, due to the pervasive speech interfaces implemented in systems such as cell phones, personal and home automation assistants.
Maribel Morales-Rodríguez +1 more
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Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array
EURASIP Journal on Audio, Speech, and Music Processing, 2007 When applying automatic speech recognition (ASR) to meeting recordings including spontaneous speech, the performance of ASR is greatly reduced by the overlap of speech events.
Yamada Miichi +4 more
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A survey of technologies for automatic Dysarthric speech recognition
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Speakers with dysarthria often struggle to accurately pronounce words and effectively communicate with others. Automatic speech recognition (ASR) is a powerful tool for extracting the content from speakers with dysarthria.
Zhaopeng Qian +2 more
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Accented Speech Recognition Based on End-to-End Domain Adversarial Training of Neural Networks
Applied Sciences, 2021 The performance of automatic speech recognition (ASR) may be degraded when accented speech is recognized because the speech has some linguistic differences from standard speech.
Hyeong-Ju Na, Jeong-Sik Park
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Harris Hawks Sparse Auto-Encoder Networks for Automatic Speech Recognition System
Applied Sciences, 2022 Automatic speech recognition (ASR) is an effective technique that can convert human speech into text format or computer actions. ASR systems are widely used in smart appliances, smart homes, and biometric systems.
Mohammed Hasan Ali +7 more
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