Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…Recent advances in speech recognition have achieved remarkable performance comparable with human transcribers’ abilities. …”
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New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition by Sanaz Seyedin, Seyed Mohammad Ahadi, Saeed Gazor

“…This paper presents a novel noise-robust feature extraction method for speech recognition using the robust perceptual minimum variance distortionless response (MVDR) spectrum of temporally filtered autocorrelation sequence. …”
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Retracted: Optimization Simulation of English Speech Recognition Accuracy Based on Improved Ant Colony Algorithm by null Complexity

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Retracted: A Russian Continuous Speech Recognition System Based on the DTW Algorithm under Artificial Intelligence by Journal of Robotics

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Building Arabic Speech Recognition System Using HuBERT Model and Studying the Sources of Errors [Arabic] by Rima Sbih, Assef Jafar, Ali Kazem

Subjects: “…speech recognition…”
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Sistem Kontrol Perangkat Inframerah Menggunakan Speech Recognition dengan Spectrogram dan Convolutional Neural Network Berbasis Mikrokontroler by Irfan Muzakky Nurrizqy, Barlian Henryranu Prasetio, Rekyan Regasari Mardi Putri

“…The system can also run the speech recognition process with an average time of 0.105 seconds. …”
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A review on speech recognition approaches and challenges for Portuguese: exploring the feasibility of fine-tuning large-scale end-to-end models by Yan Li, Yapeng Wang, Lap Man Hoi, Dingcheng Yang, Sio-Kei Im

Subjects: “…Portuguese speech recognition…”
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Effects of Various Extents of High-Frequency Hearing Loss on Speech Recognition and Gap Detection at Low Frequencies in Patients with Sensorineural Hearing Loss by Bei Li, Yang Guo, Guang Yang, Yanmei Feng, Shankai Yin

“…We found that the time-compressed speech recognition scores were significantly affected by and correlated with the extents of HF SNHL. …”
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Ghadeer-speech-crowd-corpus: Speech datasetMendeley Data by Ghadeer Qasim Ali, Husam Ali Abdulmohsin

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Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

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ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment by Guangyu Sun

Subjects: “…English medical speech recognition…”
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Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study by Hemant Palivela, Meera Narvekar, David Asirvatham, Shashi Bhushan, Vinay Rishiwal, Udit Agarwal

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Праектаванне беларуска- і рускамоўных натуральна-маўленчых інтэрфейсаў для даведкавых сістэм by S. A. Hetsevich, Dz. A. Dzenisyk, Yu. S. Hetsevich, L. I. Kaigorodova, K. A. Nikalaenka

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LipBengal: Pioneering Bengali lip-reading dataset for pronunciation mapping through lip gesturesHugging Face by Md. Tanvir Rahman Sahed, Md. Tanjil Islam Aronno, Hussain Nyeem, Md. Abdul Wahed, Tashrif Ahsan, R Rafiul Islam, Tareque Bashar Ovi, Manab Kumar Kundu, Jane Alam Sadeef

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Automatic summarization of cooking videos using transfer learning and transformer-based models by P. M. Alen Sadique, R. V. Aswiga

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Review of the application of intelligent speech technology in education by Gao Jianqing, Wan Genshun, Wu Kui, Fu Zhonghua

Subjects: “…automatic speech recognition…”
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Performance Analysis: AI-based VIST Audio Player by Microsoft Speech API by Ribwar Bakhtyar Ibrahim

Subjects: “…Speech Recognition, Microsoft Speech API, Subtitles, Speech to Text, speech-to-text recognition, Artificial Intelligence. …”
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Isolated word recognition using neural networks by Mark Filipovič

“… This paper presents the speech recognition system, designed for recognition of 50 isolated Lithuanian words. …”
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Cross-Modal Functional Reorganization of Visual and Auditory Cortex in Adult Cochlear Implant Users Identified with fNIRS by Ling-Chia Chen, Pascale Sandmann, Jeremy D. Thorne, Martin G. Bleichner, Stefan Debener

“…Visual-evoked activation in auditory cortex is a maladaptive functional reorganization whereas auditory-evoked activation in visual cortex is beneficial for speech recognition in CI users. We investigated their joint influence on CI users’ speech recognition, by testing 20 postlingually deafened CI users and 20 NH controls with functional near-infrared spectroscopy (fNIRS). …”
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