Self-Repair and Language Selection in Bilingual Speech Processing by Inga Hennecke

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Verbal Short-Term Memory and Motor Speech Processes in Broca’s Aphasia by C. Goerlich, I. Daum, I. Hertrich, H. Ackermann

“…The present study investigated the relationship between verbal short-term memory and motor speech processes in healthy control subjects and five patients suffering from Broca's aphasia. …”
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8～64kbit/s super-wideband embedded speech and audio coding algorithm by JIA Mao-shen, BAO Chang-chun, LI Rui

Subjects: “…speech processing…”
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Estimation of parameters of a harmonic chirp model by Rhythm Grover, Debasis Kundu, Amit Mitra

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Acute administration of NLX-101, a Serotonin 1A receptor agonist, improves auditory temporal processing during development in a mouse model of Fragile X Syndrome by Xin Tao, Katilynne Croom, Adrian Newman-Tancredi, Mark Varney, Khaleel A. Razak

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Race-relevant cues influence the processing of linguistic variation: Evidence from African American English and Mainstream American English by Beyer Tim, Renirie Tess, Andresen David

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Phonetic imitation by young L2 learners: English VOTs for speakers of Polish by Wieczorek Błażej, Rojczyk Arkadiusz

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Experiments on Detection of Voiced Hesitations in Russian Spontaneous Speech by Vasilisa Verkhodanova, Vladimir Shapranov

“…The development and popularity of voice-user interfaces made spontaneous speech processing an important research field. 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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Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function by Matin Pashaian, Sanaz Seyedin

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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

“…Importantly, we also demonstrate that HL infants show distinctly atypical patterns of lateralization for speech processing, particularly during native speech processing, suggesting a failure to left-lateralize. …”
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The Recognition of Holy Qur’an Reciters Using the MFCCs’ Technique and Deep Learning by Ghassan Samara, Essam Al-Daoud, Nael Swerki, Dalia Alzu’bi

“…The Holy Qur’an has recently gained recognition in the field of speech-processing research. It is the central book of Islam, from which Muslims derive their religious teachings. …”
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Ghadeer-speech-crowd-corpus: Speech datasetMendeley Data by Ghadeer Qasim Ali, Husam Ali Abdulmohsin

“…This dataset was designed to target more than one branch of speech-processing applications, such as crowd speaker identification, speech synthesis (text-to-speech), and speech recognition (speech-to-text). …”
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Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance by Siti Helmiyah, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, Abdul Fadlil

“…Informasi yang dapat ditangkap dari ucapan dapat berupa pesan terhadap lawan bicara, pembicara, bahasa, bahkan emosi pembicara itu sendiri tanpa disadari oleh si pembicara. Speech Processing adalah cabang dari pemrosesan sinyal digital yang bertujuan untuk terwujudnya interaksi yang natural antar manusia dan mesin. …”
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Automatic Speech Recognition: A survey of deep learning techniques and approaches by Harsh Ahlawat, Naveen Aggarwal, Deepti Gupta

“…Significant research has been conducted during the last decade on the application of machine learning for speech processing, particularly speech recognition. However, in recent years, deep learning models have shown promising results for different speech related applications. …”
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Neural representation of sensorimotor features in language-motor areas during auditory and visual perception by Yuanyi Zheng, Jianfeng Zhang, Yang Yang, Min Xu

“…Abstract Speech processing involves a complex interplay between sensory and motor systems in the brain, essential for early language development. …”
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ZeST: A Zero-Resourced Speech-to-Speech Translation Approach for Unknown, Unpaired, and Untranscribed Languages by Luan Thanh Nguyen, Sakriani Sakti

“…The experimental results highlight the potential of ZeST in contributing to the field of zero-resourced speech processing and improving communication in multilingual societies.…”
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A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault by Hongchao Wang, Wenliao Du

“…K -means singular value decomposition is a classical self-learning over-complete dictionary method and has been used in image processing, speech processing, and vibration signal processing. However, K -means singular value decomposition has relative low reconstruction accuracy and poor stability to enhance the desired features. …”
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DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…Deployment of deep learning-based speech processing models for real-world applications on devices with limited processing capacity and memory constraints poses significant challenges. …”
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Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement by Fazal-E -Wahab, Zhongfu Ye, Nasir Saleem, Hamza Ali, Imad Ali

“…Convolutional encoder-decoder and gated recurrent units (GRUs) are integrated into the Convolutional recurrent network architecture, thereby formulating a causal system appropriate for real-time speech processing. Parallel GRU grouping and efficient skipped connection techniques are engaged to achieve a compact network. …”
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