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1
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates ...
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2
The Phonetic Footprint of Parkinson's Disease ...
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3
The voice of COVID-19: Acoustic correlates of infection in sustained vowels
In: J Acoust Soc Am (2021)
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4
AI-based Human Audio Processing for COVID-19: A Comprehensive Overview
In: Pattern Recognit (2021)
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5
Face Mask Recognition from Audio: The MASC Database and an Overview on the Mask Challenge
In: Pattern Recognit (2021)
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6
A multilingual prosody module in a speech–to–speech translation system
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7
Korrelate von Alkoholisiertheit in der Stimme: ein phonetisch-akustischer Fit-for-Duty-Test
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8
The comprehension of grammatical and natural gender: a cross-linguistic experiment
Batliner, Anton. - 2020
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9
Guidelines for 'Text-to-Phone' (TTP) conversion, i.e., the SAMPA Inventory plus some other conventions for the SmartKom Lexicon, version 1.0
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10
Erfassung von Schläfrigkeit in Funkverkehr-gestützter Kommunikation: sprachsignal-basierte Mustererkennungsanalyse phonetisch-linguistischer Merkmale
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11
Multi-lingual prosodic processing
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12
The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity
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13
Verbmobil: the use of prosody in the linguistic components of a speech understanding system
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14
"You stupid tin box" - children interacting with the AIBO robot: a cross-linguistic emotional speech corpus
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15
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
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16
Musical-Linguistic Annotations of Il Lauro Secco ...
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17
Musical-Linguistic Annotations of Il Lauro Secco ...
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18
Musical-linguistic annotations of Il Lauro Secco
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19
I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance
Hantke, Simone; Weninger, Felix; Kurle, Richard. - : Public Library of Science, 2016
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20
Introduction to the Special Issue on Broadening the View on Speaker Analysis
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 2, 343-345
OLC Linguistik
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