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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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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 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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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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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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Speech translation enhanced automatic speech recognition [PDF]
IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 2005 Nowadays official documents have to be made available in many languages, like for example in the EU with its 20 official languages. Therefore, the need for effective tools to aid the multitude of human translators in their work becomes easily apparent.
Paulik, Matthias +5 more
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The Automatic Recognition of Emotions in Speech [PDF]
, 2010 In this chapter, we focus on the automatic recognition of emotional states using acoustic and linguistic parameters as features and classifiers as tools to predict the ‘correct’ emotional states. We first sketch history and state of the art in this field; then we describe the process of ‘corpus engineering’, i.e.
Anton Batliner +8 more
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Speech production knowledge in automatic speech recognition [PDF]
The Journal of the Acoustical Society of America, 2007 Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds, and numerous models, speech production knowledge is almost totally ignored in current mainstream approaches to automatic speech recognition.
King, Simon +5 more
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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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Trajectory Clustering For Automatic Speech Recognition [PDF]
, 2005 4 p.
Han, Y., Veth, J.M. de, Boves, L.W.J.
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