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Customized deep learning based Turkish automatic speech recognition system supported by language model [PDF]
PeerJ Computer ScienceBackground In today’s world, numerous applications integral to various facets of daily life include automatic speech recognition methods. Thus, the development of a successful automatic speech recognition system can significantly augment the convenience ...
Yasin Görmez
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Assessing the accuracy of automatic speech recognition for psychotherapy [PDF]
npj Digital Medicine, 2020 Accurate transcription of audio recordings in psychotherapy would improve therapy effectiveness, clinician training, and safety monitoring. Although automatic speech recognition software is commercially available, its accuracy in mental health settings ...
Adam S. Miner +11 more
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Explanations for Automatic Speech Recognition [PDF]
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Accepted by Speech Track, ICASSP ...
Wu, Xiaoliang +2 more
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Современная наука и инновации, 2022 Automatic speech recognition, especially in noisy environments, is a complex task. The most important stage of automatic speech recognition is the correct definition of word boundaries in the speech stream.
Andrey Sergeyevich Karpov +2 more
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Deep Models for Low-Resourced Speech Recognition: Livvi-Karelian Case
Mathematics, 2023 Recently, there has been a growth in the number of studies addressing the automatic processing of low-resource languages. The lack of speech and text data significantly hinders the development of speech technologies for such languages.
Irina Kipyatkova, Ildar Kagirov
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Thai Automatic Speech Recognition [PDF]
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006 We describe the development of a robust and flexible Thai speech recognizer as integrated into our English-Thai speech-to-speech translation system. We focus on the discussion of the rapid deployment of ASR for Thai under limited time and data resources, including rapid data collection issues, acoustic model bootstrap, and automatic generation of ...
Sinaporn Suebvisai +4 more
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Automatic recognition of suprasegmentals in speech
CoRR, 2021 This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2.0 with CTC, a method that has been successful in automatic speech recognition. We demonstrate that the method can improve the state-of-the-art on automatic recognition of syllables, tones, and pitch accents.
Jiahong Yuan +4 more
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Automatic testing of speech recognition [PDF]
International Journal of Audiology, 2009 Speech reception tests are commonly administered by manually scoring the oral response of the subject. This requires a test supervisor to be continuously present. To avoid this, a subject can type the response, after which it can be scored automatically.
Francart, Tom +2 more
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Unsupervised Automatic Speech Recognition: A review
Speech Communication, 2022 Automatic Speech Recognition (ASR) systems can be trained to achieve remarkable performance given large amounts of manually transcribed speech, but large labeled data sets can be difficult or expensive to acquire for all languages of interest. In this paper, we review the research literature to identify models and ideas that could lead to fully ...
Hanan Aldarmaki +3 more
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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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