Results 1 to 10 of about 19,322 (256)
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
doaj +3 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Unvoiced Speech Recognition Using Tissue-Conductive Acoustic Sensor
EURASIP Journal on Advances in Signal Processing, 2007 We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic sensors, which are attached behind the talker's ear and can capture not only normal (audible) speech ...
Hiroshi Saruwatari +3 more
doaj +2 more sources
Automatic Speech Recognition Using Limited Vocabulary: A Survey
Applied Artificial Intelligence, 2022 Automatic Speech Recognition (ASR) is an active field of research due to its large number of applications and the proliferation of interfaces or computing devices that can support speech processing.
Jean Louis K. E Fendji +3 more
doaj +1 more source
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
openaire +2 more sources
Automatic depression recognition by intelligent speech signal processing: A systematic survey
CAAI Transactions on Intelligence Technology, 2023 Depression has become one of the most common mental illnesses in the world. For better prediction and diagnosis, methods of automatic depression recognition based on speech signal are constantly proposed and updated, with a transition from the early ...
Pingping Wu +5 more
doaj +1 more source