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Sakshi Dua, Sethuraman Sambath Kumar, Yasser Albagory, Rajakumar Ramalingam, Ankur Dumka, Rajesh Singh, Mamoon Rashid, Anita Gehlot, Sultan S. Alshamrani and Ahmed Saeed AlGhamdi
Deep learning-based machine learning models have shown significant results in speech recognition and numerous vision-related tasks. The performance of the present speech-to-text model relies upon the hyperparameters used in this research work. In this re...
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Sung-Woo Byun and Seok-Pil Lee
The goal of the human interface is to recognize the user?s emotional state precisely. In the speech emotion recognition study, the most important issue is the effective parallel use of the extraction of proper speech features and an appropriate classific...
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Sethakarn Prongnuch, Suchada Sitjongsataporn
Pág. 203 - 215
This paper introduces an analysis of Thai speech recognition for controlled car parking assist in the system-on-chip architecture. The objective is to investigate the male and female voice command signals, including Thai and English words, issued by the ...
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Sumitra Nuanmeesri
Pág. pp. 84 - 100
Using spoken language is the easiest and most natural way of communication for human beings. The communication between humans and machines using sounds or language is a huge move forward. This article demonstrates the development of a mobile application ...
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Kyohei Matsumoto, Takafumi Nakanishi, Toshitada Sakawa, Kengo Onodera, Shinichiro Orimo, Hiroyuki Kobayashi
Pág. 366 - 383
In this paper, we present a thinking support system, AI-Josyu. This system also operates as a class support system which helps to teachers for lightening their work. AI-Josyu is implemented based on media-driven real-time content management framework. Th...
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Mohamed Tamazin, Ahmed Gouda and Mohamed Khedr
Many new consumer applications are based on the use of automatic speech recognition (ASR) systems, such as voice command interfaces, speech-to-text applications, and data entry processes. Although ASR systems have remarkably improved in recent decades, t...
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Pavitra Patel,A. A. Chaudhari,M. A. Pund,D. H. Deshmukh
Pág. 56 - 64
Speech emotion recognition is an important issue which affects the human machine interaction. Automatic recognition of human emotion in speech aims at recognizing the underlying emotional state of a speaker from the speech signal. Gaussian mixture models...
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Myles O'Brien
Pág. 16 - 25
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Min Chen, Jun Yang, Yixue Hao, Shiwen Mao and Kai Hwang
Developments and new advances in medical technology and the improvement of people?s living standards have helped to make many people healthier. However, there are still large design deficiencies due to the imbalanced distribution of medical resources, es...
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Min Chen, Jun Yang, Yixue Hao, Shiwen Mao and Kai Hwang
Developments and new advances in medical technology and the improvement of people?s living standards have helped to make many people healthier. However, there are still large design deficiencies due to the imbalanced distribution of medical resources, es...
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O. M. Karpov,O. O. Savenkova
Pág. 13 - 17
Algorithm of segment-syllabic synthesis of time-spectrum parameters for the model of speech recognition block is introduced.
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Ana-Luiza Rusnac and Ovidiu Grigore
In recent years, a lot of researchers? attentions were concentrating on imaginary speech understanding, decoding, and even recognition. Speech is a complex mechanism, which involves multiple brain areas in the process of production, planning, and precise...
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Hanif Fakhrurroja,Carmadi Machbub,Ary Setijadi Prihatmanto,Ayu Purwarianti
Pág. pp. 44 - 67
This paper proposes a way to control home appliances using a multimodal interaction system such as speech, gestures, and smartphone applications. The sensor to capture speech, in the Indonesian language, and gestures from users are Kinect v2. Speech reco...
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This paper presents a correction methodology for Long Short Term Memory (LSTM) based speech recognition. A strategy that validates with a reference database was developed for LSTM. It is conceptually simple but requires a large keyword database to match ...
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Shih-An Li, Yu-Ying Liu, Yun-Chien Chen, Hsuan-Ming Feng, Pi-Kang Shen and Yu-Che Wu
This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without a microphone where users can control the robot with spoken commands; the voice commands are then reco...
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Nils Ahrenhold, Hartmut Helmke, Thorsten Mühlhausen, Oliver Ohneiser, Matthias Kleinert, Heiko Ehr, Lucas Klamert and Juan Zuluaga-Gómez
Automatic speech recognition and understanding (ASRU) for air traffic control (ATC) has been investigated in different ATC environments and applications. The objective of this study was to quantify the effect of ASRU support for air traffic controllers (...
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Matthias Kleinert, Oliver Ohneiser, Hartmut Helmke, Shruthi Shetty, Heiko Ehr, Mathias Maier, Susanne Schacht and Hanno Wiese
The information air traffic controllers (ATCos) communicate via radio telephony is valuable for digital assistants to provide additional safety. Yet, ATCos have to enter this information manually. Assistant-based speech recognition (ABSR) has proven to b...
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Homeyra Mahmoudi, Silvana Camboim and Maria Antonia Brovelli
Voice assistants can elevate interaction in geospatial data web platforms. This research introduces a voice assistant in the BStreams platform and focuses on understanding user commands in the geospatial domain. We developed a specialised geospatial disc...
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Takamasa Iio, Yuichiro Yoshikawa, Mariko Chiba, Taichi Asami, Yoshinori Isoda and Hiroshi Ishiguro
Dialogue robot system for elderly people who have less opportunities to talk to other people.
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Aylin Gözalan, Ole John, Thomas Lübcke, Andreas Maier, Maximilian Reimann, Jan-Gerrit Richter and Ivan Zverev
Communication for processing relevant information plays a paramount role in developing a comprehensive understanding of Search and Rescue (SAR) situations and conducting operations in a successful and reliable manner. Nevertheless, communication systems ...
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