Standardization of Speech Corpus by Ai-jun Li, Zhi-gang Yin

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Speech corpus for Medina dialect by Haneen Bahjat Khalafallah, Mohamed Abdel Fattah, Ruqayya Abdulrahman

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SUST Bangla Emotional Speech Corpus (SUBESCO): An audio-only emotional speech corpus for Bangla. by Sadia Sultana, M Shahidur Rahman, M Reza Selim, M Zafar Iqbal

“…SUBESCO is an audio-only emotional speech corpus for Bangla language. The total duration of the corpus is in excess of 7 hours containing 7000 utterances, and it is the largest emotional speech corpus available for this language. …”
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The Principles of Teachers’ Speech Corpus Annotation by Elena I. Riekhakaynen, Valentina S. Bratash, Vladislav I. Zubov, Pavel A. Sergomanov

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An Urdu speech corpus for emotion recognition by Awais Asghar, Sarmad Sohaib, Saman Iftikhar, Muhammad Shafi, Kiran Fatima

“…The classification tests were performed on the emotional speech corpus collected from 20 different subjects. To evaluate the quality of speech emotions, subjective listing tests were conducted. …”
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Creating a Spontaneous Conversational Speech Corpus by Maria Husin, Darryl Stewart, Ji Ming, F J Smith

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Semantic annotation of a Japanese speech corpus by Bond, Francis, Fry, John.

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Collection and annotation of Malay conversational speech corpus by Chong, Tze Yuang, Xiao, Xiong, Tan, Tien-Ping, Chng, Eng Siong, Li, Haizhou

“…We report the development of a Malay conversational speech corpus as part of our research in spontaneous conversational speech LVCSR. …”
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Crowdsourcing the Paldaruo Speech Corpus of Welsh for Speech Technology by Sarah Cooper, Dewi Bryn Jones, Delyth Prys

“…This paper describes the process of designing, creating and using the Paldaruo Speech Corpus for developing speech technology for Welsh. …”
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Phonetically rich and balanced arabic speech corpus: An overview by Abushariah, Mohammad A. M., Ainon, Raja N., Zainuddin, Roziati, Khalifa, Othman Omran, Elshafei, Moustafa

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Methods for transcription and forced alignment of a legacy speech corpus by Olsen, R, Olsen, M, Stanley, J, Renwick, M, Kretzschmar, W

KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition by Jeong-Uk Bang, Seung Yun, Seung-Hi Kim, Mu-Yeol Choi, Min-Kyu Lee, Yeo-Jeong Kim, Dong-Hyun Kim, Jun Park, Young-Jik Lee, Sang-Hun Kim

Subjects: “…spontaneous speech corpus…”
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Reported Speech: Corpus-Based Findings vs. EFL Textbook Presentations by Danijela Šegedin

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Evaluation of an Arabic Speech Corpus of Emotions: A Perceptual and Statistical Analysis by Ali Hamid Meftah, Yousef Ajami Alotaibi, Sid-Ahmed Selouani

“…To prove the ability of speakers to accurately emulate emotions and to check whether listeners could identify the intended emotion, a human perception test was designed for a new emotional speech corpus. This paper presents an exhaustive statistical and perceptual investigation of the emotional speech corpus (KSUEmotions) for Arabic King Saud University approved by the Linguistic Data Consortium. …”
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A Small Brazilian Portuguese Speech Corpus for Speaker Recognition Study by Alberto Yoshihiro Nakano, Hélio Rodrigues da Silva, Julian Rodrigues Dourado, Felipe Walter Dafico Pfrimer

Subjects: “…Brazilian Portuguese speech corpus…”
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A speech corpus of Quechua Collao for automatic dimensional emotion recognition by Rosa Y. G. Paccotacya-Yanque, Candy A. Huanca-Anquise, Judith Escalante-Calcina, Wilber R. Ramos-Lovón, Álvaro E. Cuno-Parari

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Particle stacking in Singlish – new data from the national speech corpus by Boo, Ashley, Lee, Junwen, Tan, Ying Ying

“…In this paper, we provide novel empirical data on particle stacking in Singlish using the National Speech Corpus (NSC). A frequency analysis of particle stacks containing the Singlish particles hor, lah and meh in the NSC shows that most of the particle stacks are declarative-interrogative pairs where the first particle is used in assertions while the second particle has a backchannelling function, which is consistent with particles stacks observed in other languages. …”
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Place assimilation across words in running speech: Corpus analysis and perception by Zimmerer, F, Reetz, H, Lahiri, A

Detecting somatisation disorder via speech: introducing the Shenzhen Somatisation Speech Corpus by Kun Qian, Ruolan Huang, Zhihao Bao, Yang Tan, Zhonghao Zhao, Mengkai Sun, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

“…Methods: By collecting speech samples of somatisation disorder patients, in cooperation with the Shenzhen University General Hospital, we introduced our somatisation disorder speech database, the Shenzhen Somatisation Speech Corpus (SSSC). Moreover, a benchmark for SSSC using classic acoustic features and a machine learning model was proposed in our work. …”
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The BioVisualSpeech Corpus of Words with Sibilants for Speech Therapy Games Development by Sofia Cavaco, Isabel Guimarães, Mariana Ascensão, Alberto Abad, Ivo Anjos, Francisco Oliveira, Sofia Martins, Nuno Marques, Maxine Eskenazi, João Magalhães, Margarida Grilo

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