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Speech Fine Structure Contains Critical Temporal Cues to Support Speech Segmentation
bioRxiv, 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
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
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-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
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Text Preprocessing for Speech Synthesis [PDF]
, 2006 In this paper we describe our text preprocessing modules for English text-to-speech synthesis. These modules comprise rule-based text normalization subsuming sentence segmentation and normalization of non-standard words, statistical part-of-speech ...
Pfitzinger, Hartmut R. +5 more
core +1 more source
Analysis of speech prosody using WaveNet embeddings : The Lombard effect [PDF]
, 2020 We present a novel methodology for speech prosody research based on the analysis of embeddings used to condition a convolutional WaveNet speech synthesis system.
Juraj Šimko +5 more
core +1 more source
Contextualized Translation of Automatically Segmented Speech [PDF]
Interspeech 2020, 2020 Direct speech-to-text translation (ST) models are usually trained on corpora segmented at sentence level, but at inference time they are commonly fed with audio split by a voice activity detector (VAD). Since VAD segmentation is not syntax-informed, the resulting segments do not necessarily correspond to well-formed sentences uttered by the speaker but,
Marco Gaido +4 more
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Automatic speech segmentation for air-ground communication based on multi-input CGRU neural network
四川大学学报. 自然科学版, 2020 Automatic Speech segmentation is a very important preprocessing approach in many largescale applications such as speech recognition, speaker recognition and speech noise reduction.
GUO Dong-Yue, LIN Yi, YANG Bo
doaj
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
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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