Results 41 to 50 of about 1,383,551 (338)
Word Segmentation Cues in German Child-Directed Speech: A Corpus Analysis
Language and Speech, 2021 To acquire language, infants must learn to segment words from running speech. A significant body of experimental research shows that infants use multiple cues to do so; however, little research has comprehensively examined the distribution of such cues ...
Katja Stärk +2 more
semanticscholar +1 more source
Speech-music segmentation system for speech recognition
2009 IEEE 17th Signal Processing and Communications Applications Conference, 2009 Using posterior probability based features to segment an audio signal as speech and music has been commonly used method In this study Hidden-Markov-Model (HMM) based acoustic models are used to calculate posterior probabilities. Acoustic Models includes states of context-independent phones as modeling unit.
Demir, Cemil, Dogan, Mehmet Ugur
openaire +2 more sources
Individual Differences in Infant Speech Segmentation: Achieving the Lexical Shift
Infancy, 2018 We report a large-scale electrophysiological study of infant speech segmentation, in which over 100 English-acquiring 9-month-olds were exposed to unfamiliar bisyllabic words embedded in sentences (e.g., He saw a wild eagle up there), after which their ...
E. Kidd +4 more
semanticscholar +1 more source
Relative Positional Encoding for Speech Recognition and Direct Translation
, 2020 Transformer models are powerful sequence-to-sequence architectures that are capable of directly mapping speech inputs to transcriptions or translations. However, the mechanism for modeling positions in this model was tailored for text modeling, and thus ...
Ha, Thanh-Le +7 more
core +1 more source
SPEECH/PAUSE SEGMENTATION METHOD BASED ON TEAGER ENERGY OPERATOR
Модели, системы, сети в экономике, технике, природе и обществе, 2022 Background. Speech segmentation into voiced, unvoiced sections and pauses is the key task for the majority of speech applications. This is especially important in systems for assessing human psycho-emotional state by speech, since duration of voiced ...
A.K. Alimuradov
doaj +1 more source
Speech fine structure contains critical temporal cues to support speech segmentation
NeuroImage, 2018 Segmenting the continuous speech stream into units for further perceptual and linguistic analyses is fundamental to speech recognition. The speech amplitude envelope (SE) has long been considered a fundamental temporal cue for segmenting speech. Does the
Xiangbin Teng, G. Cogan, D. Poeppel
semanticscholar +1 more source
, 2004 In this paper we describe further developments of the MAUS system and announce a free-ware software package that may be downloaded from the ’Bavarian Archive for Speech Signals’ (BAS) web site.
Lino, Maria Teresa, Schiel, Florian
core +1 more source
Estimating Speaking Rate by Means of Rhythmicity Parameters [PDF]
, 2011 In this paper we present a speech rate estimator based on so-called rhythmicity features derived from a modified version of the short-time energy envelope.
Heinrich, Christian, Schiel, Florian
core +1 more source
Speech rhythms and multiplexed oscillatory sensory coding in the human brain.
PLoS Biology, 2013 Cortical oscillations are likely candidates for segmentation and coding of continuous speech. Here, we monitored continuous speech processing with magnetoencephalography (MEG) to unravel the principles of speech segmentation and coding.
Joachim Gross +6 more
doaj +1 more source
ENHANCEMENT OF SPEECH SIGNAL SEGMENTATION USING TEAGER ENERGY OPERATOR
Измерение, мониторинг, управление, контроль, 2021 Background. Speech signal segmentation is detection of the boundaries of the beginning and the end of sections of voiced and unvoiced speech, and pauses.
A. K. Alimuradov
doaj +1 more source