Search · four archives
Search · four archives
19 papers · ranked by Valyu relevance
Vlado Delić, Zoran Perić, Milan Sečujski, Nikša Jakovljević + 5 more
'Jelena Nikolić' 'Dragiša Mišković' 'Nikola Simić' 'Siniša Suzić' 'Tijana Delić'] Speech technologies have been developed for decades as a typical signal processing area, while the last decade has brought a huge progress based on new machine learning paradigms. Owing not only to their intrinsic complexity but also to…
Mamyrbayev Orken, Oralbekova Dina, Alimhan Keylan, Turdalykyzy Tolganay + 1 more
Today, the Transformer model, which allows parallelization and also has its own internal attention, has been widely used in the field of speech recognition. The great advantage of this architecture is the fast learning speed, and the lack of sequential operation, as with recurrent neural networks. In this work…
Anne-Sophie Ghyselen, Anne Breitbarth, Melissa Farasyn, Jacques Van Keymeulen + 1 more
'Jacques Van Keymeulen' 'Arjan van Hessen'] This paper discusses how the transcription hurdle in dialect corpus building can be cleared. While corpus analysis has strongly gained in popularity in linguistic research, dialect corpora are still relatively scarce. This scarcity can be attributed to several factors, one of…
Zulkarnaen Hatala
— The practical aspects of developing an Automatic Speech Recognition System (ASR) with HTK are reviewed. Steps are explained concerning hardware, software, libraries, applications and computer programs used. The common procedure to rapidly apply speech recognition system is summarized. The procedure is illustrated, to…
Naim Terbeh, Mounir Zrigui
- This work consists of creating a system of the Computer Assisted Language Learning (CALL) based on a system of Automatic Speech Recognition (ASR) for the Arabic language using the tool CMU Sphinx3 [1], based on the approach of HMM. To this work, we have constructed a corpus of six hours of speech recordings with a…
Cai Wingfield, Chao Zhang, Barry Devereux, Elisabeth Fonteneau + 5 more
How the human brain supports speech comprehension is an important question in neuroscience. Studying the neurocomputational mechanisms underlying human language is not only critical to understand and develop treatments for many human conditions that impair language and communication but also to inform artificial…
R. Sandanalakshmi, P. Abinaya Viji, M. Kiruthiga, M. Manjari + 1 more
'M. Sharina'] An efficient speech to text converter for mobile application is presented in this work. The prime motive is to formulate a system which would give optimum performance in terms of complexity, accuracy, delay and memory requirements for mobile environment. The speech to text converter consists of two stages…
Ataklti Kahsu, Solomon Teferra
This thesis proposes and describes a research attempt at designing and developing a speakerindependent spontaneous automatic speech recognition system for Tigrigna. The acoustic model of the Speech Recognition System is developed using Carnegie Mellon University's Automatic Speech Recognition development tool (Sphinx)…
Sachin Lakra, T. V. Prasad, Deepak Kumar Sharma, Shree Harsh Atrey + 1 more
'Anubhav Sharma'] Abstract - For the past few decades, man has been trying to create an intelligent computer which can talk and respond like he can. The task of creating a system that can talk like a human being is the primary objective of Automatic Speech Recognition. Various Speech Recognition techniques have been…
Lotte Weerts, Claudia Clopath, Dan F. M. Goodman
Automatic speech recognition (ASR) software has been suggested as a candidate model of the human auditory system thanks to dramatic improvements in performance in recent years. To test this hypothesis, we compared several state-of-the-art ASR systems to results from humans on a barrage of standard psychoacoustic…
Seedahmed S. Mahmoud, Raphael F. Pallaud, Akshay Kumar, Serri Faisal + 3 more
'Yin Wang' 'Qiang Fang' 'Aimé Lay-Ekuakille'] The rehabilitation of aphasics is fundamentally based on the assessment of speech impairment. Developing methods for assessing speech impairment automatically is important due to the growing number of stroke cases each year. Traditionally, aphasia is assessed manually using…
Mumtaz Begum Mustafa, Siti Salwah Salim, Noraini Mohamed, Bassam Al-Qatab + 2 more
'Bassam Al-Qatab' 'Chng Eng Siong' 'Joel Snyder'] Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping individuals with speech impairment in their communication ability. One challenge in ASR for speech-impaired individuals is the difficulty in obtaining a good speech…
Arian Azarang, S. Lesley Blogg, Joshua Currens, Rachel M. Lance + 4 more
'Richard E. Moon' 'Peter Lindholm' 'Virginie Papadopoulou' 'Viacheslav Kovtun'] Doppler ultrasound (DU) is used in decompression research to detect venous gas emboli in the precordium or subclavian vein, as a marker of decompression stress. This is of relevance to scuba divers, compressed air workers and astronauts to…
Cai Wingfield, Li Su, Xunying Liu, Chao Zhang + 4 more
There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiological process, is an important case in point. Automatic Speech…
Gulmira Bekmanova, Banu Yergesh, Altynbek Sharipbay, Assel Mukanova + 4 more
'Valentina Franzoni' 'Giulio Biondi' 'Alfredo Milani' 'Jordi Vallverdú'] The emotional speech recognition method presented in this article was applied to recognize the emotions of students during online exams in distance learning due to COVID-19. The purpose of this method is to recognize emotions in spoken speech…
Youssef Bassil, Mohammad Alwani
—ASR short for Automatic Speech Recognition is the process of converting a spoken speech into text that can be manipulated by a computer. Although ASR has several applications, it is still erroneous and imprecise especially if used in a harsh surrounding wherein the input speech is of low quality. This paper proposes a…
Tyson S. Barrett, Camille J. Wynn, Lotte Eijk, Katerina A. Tetzloff + 1 more
One major difficulty in conversational research is the time required to segment and transcribe conversational recordings. While recent advances have improved automatic speech recognition technologies, one limitation of current tools is that they are generally catered toward speech that occurs in monologues rather than…
Phoebe Gaston, Christian Brodbeck, Colin Phillips, Ellen Lau
Speech input is often understood to trigger rapid and automatic activation of successively higher-level representations for comprehension of words. Here we show evidence from magnetoencephalography that incremental processing of speech input is limited when words are heard in isolation as compared to continuous speech.…
Amirhossein Khalilian-Gourtani, Chenqian Le, Faxin Zhou, Erika Jenson + 6 more
Speech is a defining human behavior, and this ability depends critically on speech motor cortex. While the ventral precentral and postcentral gyri are classically regarded as chiefly articulatory and somatosensory regions, a growing body of literature challenges this simplification. Most prior research, however, has…