Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…Aiming at developing novel recognition feature and application to speech recognition, this paper presents a new method for articulatory-to-acoustic conversion. …”
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Research and Implementation of Intelligent Home Pension System Based on Speech and Semantic Recognition by Guokun Xie, Sen Hao, Peipei Zhang, Ningning Wang

“…It has been proved that the key technology of speech recognition has been developed rapidly, the speech recognition rate has been improved (up to 97%) and the low-power speech wake up technology had breakthrough, the use of voice interaction is gradually expanding to intelligent hardware and robots, and voice interaction is undoubtedly the mainstream intelligent home pension system interaction mode after keyboard, mouse, and touch screen and also the main entrance of the future intelligent home pension system.…”
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Artificial intelligence in aviation English testing by Gökhan Demirdöken

“…Despite challenges such as speech recognition errors and ethical concerns, these tools offer scalable and accessible solutions for large aviation training programs. …”
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Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment by Shunlan Wang

“…Computers have been widely used in language evaluation and speech recognition for language learning, and speech recognition technology is an important reflection of the level of language learning. …”
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ADAPTIVE LEARNING OF HIDDEN MARKOV MODELS FOR EMOTIONAL SPEECH by A. V. Tkachenia

“…A functional block diagram of the hidden Markov models adaptation algorithm is also provided with obtained results, which improve the efficiency of emotional speech recognition.…”
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Echo: A crowd-sourced Romanian speech dataset. by Remus-Dan Ungureanu, Mihai Dascalu

“…In this study, we document how a large speech dataset enables researchers to train automatic speech recognition, speaker verification, and diarization models to automatically process students’ notes. …”
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Recognition of Emotions in Mexican Spanish Speech: An Approach Based on Acoustic Modelling of Emotion-Specific Vowels by Santiago-Omar Caballero-Morales

“…For this, a standard phoneme-based Automatic Speech Recognition (ASR) system was built with Hidden Markov Models (HMMs), where different phoneme HMMs were built for the consonants and emotion-specific vowels associated with four emotional states (anger, happiness, neutral, sadness). …”
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Multiloop Parallelisation Using Unrolling and Fission by Yuet Ming Lam, José Gabriel F. Coutinho, Chun Hok Ho, Philip Heng Wai Leong, Wayne Luk

“…The approach is demonstrated using three applications: speech recognition, image processing, and the N-Body problem. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Fruitful results have been achieved in image recognition, speech recognition, and natural language processing. Compared with traditional neural network, convolutional weight sharing, sparse connection, and pooling operations in convolutional neural network greatly reduce the number of training parameters, reduce size of feature map, simplify network model, and improve training efficiency. …”
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Enhancing balance and auditory function in bilateral vestibulopathy through otolithic vestibular stimulation: insights from a pilot study on cochlea-vestibular implant efficacy by Ángel Ramos-de-Miguel, Ángel Ramos-de-Miguel, Morgana Sluydts, Juan Carlos Falcón, Raquel Manrique-Huarte, Isaura Rodriguez, Andrzej Zarowski, Maurizio Barbara, Manuel Manrique, Silvia Borkoski, Joan Lorente, Marc Leblanc, Antonin Rambault, Erika Van Baelen, Carl Van Himbeeck, Alicia Huarte, Ángel Ramos Macías, Ángel Ramos Macías

“…Auditory function was assessed with pure-tone audiometry (PTA) and speech recognition at baseline, 3, and 9 months post-implantation. …”
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Cochlear Implantation in Single-Sided Deafness and Asymmetric Hearing Loss: 12 Months Follow-up Results of a European Multicenter Evaluation by Thomas Wesarg, Antje Aschendorff, Regina Baumgaertel, Julia Böttcher, Liesbeth De Coninck, Ingeborg Dhooge, Ann Dierckx, Thomas Klenzner, Philipp Schörg, Georg Sprinzl, Freya Swinnen, Nicolas Verhaert, Annelies Vermeiren, Simone Volpert, Andrzej Zarowski, Arne Ernst

“…Results: In both SSD and AHL subjects, CI significantly improved sound localization for sound sources on the implant side, and thus overall sound localization. Speech recognition in quiet with the implant ear improved significantly. …”
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A Review of Subsequence Time Series Clustering by Seyedjamal Zolhavarieh, Saeed Aghabozorgi, Ying Wah Teh

“…Subsequence time series clustering is used in different fields, such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. …”
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Vocal Communication Between Cobots and Humans to Enhance Productivity and Safety: Review and Discussion by Yuval Cohen, Maurizio Faccio, Shai Rozenes

“…Speech generation and speech recognition are pre-requisites for effective vocal communication. …”
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Experiments on Detection of Voiced Hesitations in Russian Spontaneous Speech by Vasilisa Verkhodanova, Vladimir Shapranov

“…One of the main focus areas in this field is automatic speech recognition (ASR) that enables the recognition and translation of spoken language into text by computers. …”
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On the Development of Speech Resources for the Mixtec Language by Santiago-Omar Caballero-Morales

“…This paper presents the development of the following resources for the Mixtec language: (1) a speech database of traditional narratives of the Mixtec culture spoken by a native speaker (labelled at the phonetic and orthographic levels by means of spectral analysis) and (2) a native speaker-adaptive automatic speech recognition (ASR) system (trained with the speech database) integrated with a Mixtec-to-Spanish/Spanish-to-Mixtec text translator. …”
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The function of ASR-generated live transcription in simultaneous interpreting: trainee interpreters’ perceptions from post-task interviews by Xiaoman Wang, Binhua Wang, Lu Yuan

“…Abstract This study explores whether live transcription generated with the technology of automatic-speech-recognition (ASR) can be used to facilitate simultaneous interpreting. …”
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After visibility: Data as a factor of production in Douyin e-commerce by Shuaishuai Wang

“…This involves measurements employing surveillance technologies that span image and speech recognition, keywords, performance metrics, and pricing algorithms. …”
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A Systematic Analysis of Various Word Sense Disambiguation Approaches by Chandra Ganesh, Sanjay K. Dwivedi, Satya Bhushan Verma, Manish Dixit

“…This paper also describes the various applications of WSD, such as information retrieval, machine translation, speech recognition, computational advertising, text processing, classification of documents and biometrics.…”
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Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement by Novlene Zoghlami, Zied Lachiri

“…Using objective tests based on the perceptual quality PESQ score and the quality rating of signal distortion (SIG), noise distortion (BAK) and overall quality (OVRL), and subjective test based on the quality rating of automatic speech recognition (ASR), we demonstrate that our speech enhancement approach using filter banks modeling the human auditory system outperforms the conventional spectral modification algorithms to improve quality and intelligibility of the enhanced speech signal.…”
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English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm by Xiaoyan Feng, Yanfang Zhou

“…Experiments on number string and large vocabulary continuous speech recognition show that the algorithm is effective.…”
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