Comparative Analysis of Mel-Frequency Cepstral Coefficients and Wavelet Based Audio Signal Processing for Emotion Detection and Mental Health Assessment in Spoken Speech

Autor: Agbo, Idoko, El-Sayed, Dr Hoda, Sarker, M. D Kamruzzan

The intersection of technology and mental health has spurred innovative approaches to assessing emotional well-being, particularly through computational techniques applied to audio data analysis. This study explores the application of Convolutional N

Externí odkaz: http://arxiv.org/abs/2412.10469

Recognition of Arabic Accents From English Spoken Speech Using Deep Learning Approach

Autor: Mansoor Habbash, Sami Mnasri, Mansoor Alghamdi, Malek Alrashidi, Ahmad S. Tarawneh, Abdullah Gumair, Ahmad B. Hassanat

Publikováno v: IEEE Access, Vol 12, Pp 37219-37230 (2024)

Accents, or changes in how different people speak the same word/sentence in the same language, pose substantial communication issues in most spoken languages. This is a well-known fact, but how does the accent of one language affect learning/speaking

Externí odkaz: https://doaj.org/article/32bf682be9a8449b879bc65644fae875

Real-time detection of spoken speech from unlabeled ECoG signals: A pilot study with an ALS participant.

Autor: Angrick M; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Luo S; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Rabbani Q; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA., Joshi S; Department of Computer Science, The Johns Hopkins University, Baltimore, MD, USA.; Department of Cognitive Science, The Johns Hopkins University, Baltimore, MD, USA., Candrea DN; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Milsap GW; Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA., Gordon CR; Departments of Plastic and Reconstructive Surgery & Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Rosenblatt K; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Anesthesiology & Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Clawson L; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Maragakis N; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA., Tenore FV; Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA., Fifer MS; Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA., Ramsey NF; UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands., Crone NE; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Sep 22. Date of Electronic Publication: 2024 Sep 22.

Spoken Speech and Spontaneous Discourse: Buryat Language

Autor: Erzhena Z. Nimaeva

Publikováno v: Polylinguality and Transcultural Practices, Vol 20, Iss 1, Pp 99-109 (2023)

Nowadays spoken speech is of great interest to researchers, because modern linguistics aims not only to describe normative, as a rule, written speech, but also to explain the causes of grammatical deviations appearing in spoken speech. The urgency of

Externí odkaz: https://doaj.org/article/ac44ee6725854b29b44f3db43ff187a8

Pragmatic Markers in Russian Spoken Speech: an Experience of Systematization and Annotation for the Improvement of NLP Tasks

Autor: Natalia Bogdanova-Beglarian, Olga Blinova, Tatiana Sherstinova, Gregory Martynenko, Kristina Zaides

Publikováno v: Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 602, Iss 23, Pp 69-77 (2018)

Pragmatic markers are an integral part of spontaneous spoken speech, however, they still have no systematic scientific description. These speech elements perform mostly pragmatic functions and are characterized by almost complete absence (or signific

Externí odkaz: https://doaj.org/article/44c6c25a0d264b569f31558d095429a0