Audio classification using grasshopper‐ride optimization algorithm‐based support vector machine by Suryabhan Pratap Singh, Umesh Chandra Jaiswal

“…Abstract The accurate and robust detection of the audio has been widely grown as the speech technology in the area of audio forensics, speech recognition, and so on. However, in real time, it is a challenge to deal with the massive data arriving from distributed sources. …”
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Hearing in categories and speech perception at the "cocktail party". by Gavin M Bidelman, Fallon Bernard, Kimberly Skubic

“…We first show cocktail party speech recognition accuracy and speed decline with additional competing talkers and amidst forward compared to reverse maskers. …”
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Teachers’ Perception Towards Integration of Artificial Intelligence Tutoring-Based System in the School Curriculum: A Survey by Vivian M. Olaseni

“…Artificial Intelligence (AI) is the theory and development of computer systems capable of performing tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. …”
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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

“…Abstract The application of artificial neural networks (ANNs) can be found in numerous fields, including image and speech recognition, natural language processing, and autonomous vehicles. …”
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Logatome Discrimination in Cochlear Implant Users: Subjective Tests Compared to the Mismatch Negativity by Torsten Rahne, Michael Ziese, Dorothea Rostalski, Roland Mühler

“…This paper describes a logatome discrimination test for the assessment of speech perception in cochlear implant users (CI users), based on a multilingual speech database, the Oldenburg Logatome Corpus, which was originally recorded for the comparison of human and automated speech recognition. The logatome discrimination task is based on the presentation of 100 logatome pairs (i.e., nonsense syllables) with balanced representations of alternating “vowel-replacement” and “consonant-replacement” paradigms in order to assess phoneme confusions. …”
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Alzheimer’s disease recognition using graph neural network by leveraging image-text similarity from vision language model by Byounghwa Lee, Jeong-Uk Bang, Hwa Jeon Song, Byung Ok Kang

“…First, we transcribe the participants’ speech into text using an automatic speech recognition system. Then, we employ a vision language model to represent the relationship between the parts of the image and the corresponding descriptive sentences as a bipartite graph. …”
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Construction and Analysis of Emotion Computing Model Based on LSTM by Huiping Jiang, Rui Jiao, Zequn Wang, Ting Zhang, Licheng Wu

“…Long short-term memory (LSTM) processes the temporal characteristics of data and is mostly used for emotional text and speech recognition. Since an EEG involves a time series signal, this article mainly studied the introduction of LSTM for emotional EEG recognition. …”
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Philosophical Review of Artificial Intelligence for Society 5.0 by Ggaliwango, Marvin, Tamale, Micheal, Kanagwa, Benjamin, Jjingo, Daudi

“…Today, AI has reached new heights and has a wide range of applications, from playing complex games to language processing, speech recognition, and facial recog nition [1–3]. With its exponential growth and its increasing presence in an ever growing number of sectors, AI is well on its way to becoming a source of significant economic prosperity. …”
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Tibetan–Chinese speech-to-speech translation based on discrete units by Zairan Gong, Xiaona Xu, Yue Zhao

“…Abstract Speech-to-speech translation (S2ST) has evolved from cascade systems which integrate Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS), to end-to-end models. …”
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IDAS: Intelligent Driving Assistance System Using RAG by Hernandez-Salinas Bernardo, Juan Terven, E. A. Chavez-Urbiola, Diana-Margarita Cordova-Esparza, Julio-Alejandro Romero-Gonzalez, Amadeo Arguelles, Ilse Cervantes

“…In addition, this system incorporates speech recognition and speech synthesis capabilities, it can understand commands given in multiple languages, improving user experiences among diverse driver communities. …”
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The Awareness and Adoption of Artificial Intelligence for Effective Facilities Management in the Energy Sector by Jonathan Oluwapelumi Mobayo, Ayooluwa Femi Aribisala, Saheed Olanrewaju Yusuf, Usman Belgore

“…However, regarding the awareness about some selected AI technologies, machine & deep learning, robotics, and speech recognition had high awareness level. The study also concludes that improved energy management, efficiency and transparency, remote reading of energy meters, and improved planning, operation & control of power systems were prevalent prospects of AI adoption. …”
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User Experiences from L2 Children Using a Speech Learning Application: Implications for Developing Speech Training Applications for Children by Maria Uther, Anna-Riikka Smolander, Katja Junttila, Mikko Kurimo, Reima Karhila, Seppo Enarvi, Sari Ylinen

“…We investigated user experiences from 117 Finnish children aged between 8 and 12 years in a trial of an English language learning programme that used automatic speech recognition (ASR). We used measures that encompassed both affective reactions and questions tapping into the children' sense of pedagogical utility. …”
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Application of an active middle ear implant in congenital middle ear malformations: A contemporary review by Vagner Antonio Rodrigues da Silva, Henrique Furlan Pauna, Guilherme Correa Guimarães, Joel Lavinsky, Thomas E. Linder, Arthur Menino Castilho

“…VSB implantation resulted in mean hearing gain of 40.5 ± 7.1 dB in the air-conduction thresholds among the evaluated frequencies. The speech recognition index if the Floating Mass Transducer (FMT) was placed in the short process was 86.0% ± 9.6%, with significant difference when compared to long process coupling (p = 0.035) and the round window coupling (p =  0.048). …”
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Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks by Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

“…However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. …”
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Development and Validation of Azari Version of Speech Recognitifon Threshold Test in Adult Azari Population and Compiling Psychometrically Equivalent Lists by Asma Hammami Dizaj, Nariman Rahbar, Behrooz Mahmoodi-Bakhtiari, Seyyed Jalal Sameni, Nayiere Mansouri

“… Background and Aim: One of the various measures used in speech audiometry is the speech recognition threshold. The aim of this study is to construct psychometrically equivalent lists containing Azari two-syllable words to evaluate speech reception threshold in Azari-speaking adults. …”
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Nerve‐Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele‐Healthcare by Tianliang Li, Qian'ao Wang, Zichun Cao, Jianglin Zhu, Nian Wang, Run Li, Wei Meng, Quan Liu, Shifan Yu, Xinqin Liao, Aiguo Song, Yuegang Tan, Zude Zhou

“…A small circuit board is prepared to enable wireless signal transmission of the designed sensor, thereby improving the daily portability. A speech recognition and human‐machine interaction system, based on sensor signal acquisition, is constructed, and the convolutional neural network algorithm is integrated for disease assessment. …”
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Penentuan Filterbank Wavelet Menggunakan Algoritma Mean Best Basis untuk Ekstraksi Ciri Sinyal Suara Ber-Noise by Abdurahim Abdurahim, Syahroni Hidayat

“…Abstract Recently wavelet-based filterbanks as feature start extractors have been widely developed to replace the role of the Mel Frequency Cepstral Coefficient (MFCC) feature in automatic speech recognition systems. One of the wavelet feature filterbanks developed is Wavelet-Packet Cepstral Coefficient (WPCC). …”
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End-to-End Mandarin Speech Reconstruction Based on Ultrasound Tongue Images Using Deep Learning by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Shaochuan Zhang, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

“…The character error rate of phonemes in automatic speech recognition was 0.2605, and tone error rate obtained from dictation tests was 0.1784, respectively. …”
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Psychometric characteristics and feasibility of microinteraction-based Ecological Momentary Assessment in audiology research by Yu-Hsiang Wu, Elizabeth Stangl, Samuel Smith, Jacob Oleson, Christi Miller, Octav Chipara

“…Participants provided feedback on their experience with micro-EMA.ResultsIn the dual-task experiment, participants reported improved hearing performance in micro-EMA as SNRs and speech recognition scores increased across all three response formats, supporting the tool's construct validity. …”
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