Results 131 to 140 of about 756,236 (193)

Gender Representation at Turkish Anaesthesiology and Reanimation Congresses: Trends in Speakers, Session Chairs, and Society Leadership from 2015 to 2024. [PDF]

Turk J Anaesthesiol Reanim
Öner SF, Şenol Karataş S.
europepmc   +1 more source

A Multilingual Behavioral Speech Dataset for Vishing and Social Engineering Detection. [PDF]

Sci Data
Hmimou Y, Tabaa M, Khiat A, Hidila Z.
europepmc   +1 more source

How gender shapes public speaking in virtual reality: a multimodal analysis. [PDF]

Front Artif Intell
Ristorcelli M, Casanova R, Ochs M.
europepmc   +1 more source

Evaluation of Socio-Technical Mechanisms Shaping AI Scribe Documentation Failures: A Netnographic Study. [PDF]

J Eval Clin Pract
Atiku S, Owolanke K, Olakotan O.
europepmc   +1 more source

Multilingual Voice AI for Postoperative Cataract Follow-Up in Turkish Speaking Patients in the United Kingdom: Patient and Public Involvement Focus Group Study. [PDF]

JMIR Form Res
Sevgi M, Ong AY, Lean K, Rees S, Lim E, Merle DA, Day AC, Hussain B, Keane PA, Higham A, Crosby-Nwaobi R.   +10 more
europepmc   +1 more source

Dataset of audiovisual unscripted monologues with speech annotations. [PDF]

Data Brief
Jaeger M, Daeglau M, Grimm G, Bleichner MG.   +3 more
europepmc   +1 more source

Dataset on multiregional variations of Bangla language (BD-Dialect). [PDF]

Data Brief
Rahman A, Muna NH, Prity MS.
europepmc   +1 more source

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On Deep Speaker Embeddings for Speaker Verification

2021 44th International Conference on Telecommunications and Signal Processing (TSP), 2021
In recent years, there has been a tremendous application spike in the field of deep neural networks (DNN), including increasing interest in automatic speaker recognition systems development. Currently, the utilization of DNN-based speaker embeddings, such as x-vectors or d-vectors, is a common way of creating speaker-specific acoustic models. In recent
Maros Jakubec, Roman Jarina, Eva Lieskovska, Michal Chmulik   +3 more
openaire   +2 more sources

Speaker Verification: A Tutorial

IEEE Communications Magazine, 1990
The task of speaker verification, a subset of the general problem of speaker recognition is defined. The feature selection and pattern matching steps of the recognition procedure are examined. Speaker verification system design and performance are discussed, and databases for evaluating them are briefly considered.
exaly   +2 more sources