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The Influence of Different Prosodic Cues on Word Segmentation
A prerequisite for spoken language learning is segmenting continuous speech into words. Amongst many possible cues to identify word boundaries, listeners can use both transitional probabilities between syllables and various prosodic cues.
Theresa Matzinger +4 more
doaj +1 more source
Segmentation of speech: child's play? [PDF]
The difficulty of the task of segmenting a speech signal into its words is immediately clear when listening to a foreign language; it is much harder to segment the signal into its words, since the words of the language are unknown. Infants are faced with the same task when learning their first language. This study provides a better understanding of the
Scharenborg, O., Ernestus, M., Wan, V.
openaire +4 more sources
Amharic Speech Search Using Text Word Query Based on Automatic Sentence-like Segmentation
More than 7000 languages are spoken in the world today. Amharic is one of the languages spoken in the East African country Ethiopia. A lot of speech data is being made every day in different languages as machines are getting better at processing and have
Getnet Mezgebu Brhanemeskel +3 more
doaj +1 more source
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation [PDF]
Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widely used in medical image segmentation.
Huimin Huang +8 more
semanticscholar +1 more source
Early Word Segmentation Behind the Mask
Infants have been shown to rely both on auditory and visual cues when processing speech. We investigated the impact of COVID-related changes, in particular of face masks, in early word segmentation abilities.
Sónia Frota +4 more
doaj +1 more source
CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition [PDF]
Recent end-to-end Automatic Speech Recognition (ASR) systems demonstrated the ability to outperform conventional hybrid DNN/HMM ASR. Aside from architectural improvements in those systems, those models grew in terms of depth, parameters and model ...
Ludwig Kurzinger +4 more
semanticscholar +1 more source
WORD BASED TAMIL SPEECH RECOGNITION USING TEMPORAL FEATURE BASED SEGMENTATION [PDF]
Speech recognition system requires segmentation of speech waveform into fundamental acoustic units. Segmentation is a process of decomposing the speech signal into smaller units.
A. Akila, E. Chandra
doaj
Automatic initial and final segmentation in cleft palate speech of Mandarin speakers.
The speech unit segmentation is an important pre-processing step in the analysis of cleft palate speech. In Mandarin, one syllable is composed of two parts: initial and final.
Ling He +5 more
doaj +1 more source
Word Segmentation Cues in German Child-Directed Speech: A Corpus Analysis
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
Phonemic Segmentation and Labelling using the MAUS Technique [PDF]
We describe the pronunciation model of the automatic segmentation technique MAUS based on a data-driven Markov process and a new evaluation measure for phonemic transcripts relative symmetric accuracy; results are given for the MAUS segmentation and ...
Schiel, Florian +2 more
core +1 more source

