Results 41 to 50 of about 154,869 (269)
Speech Recognition for Medical Conversations [PDF]
Interspeech 2018, 2018 In this work we explored building automatic speech recognition models for transcribing doctor patient conversation. We collected a large scale dataset of clinical conversations ($14,000$ hr), designed the task to represent the real word scenario, and explored several alignment approaches to iteratively improve data quality. We explored both CTC and LAS
Chung-Cheng Chiu +13 more
openaire +2 more sources
FEBS Letters, EarlyView.Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source
Speech recognition and understanding [PDF]
Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology Tutorials - NAACL '03, 2003 This tutorial will introduce the main concepts behind modern speech recognition and understanding systems. The state-of-the-art and the assumptions and limitations of current technology will be presented. The emphasis will be on describing an end-to-end system and how the different components fit together.
openaire +2 more sources
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Spectral modification for recognition of children’s speech under mismatched conditions
, 2021 n this paper, we propose spectral modification by sharpening formants and by reducing the spectral tilt to recognize children’s speech by automatic speech recognition (ASR) systems developed using adult speech.
Alku, Paavo +3 more
core
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
FEBS Letters, EarlyView.This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Improved subword modeling for WFST-based speech recognition [PDF]
, 2017 Because in agglutinative languages the number of observed word forms is very high, subword units are often utilized in speech recognition. However, the proper use of subword units requires careful consideration of details such as silence modeling ...
Virpioja, Sami +5 more
core +1 more source
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Information state based speech recognition
, 2010 One of the pitfalls in spoken dialogue systems is the brittleness of automatic speech recognition (ASR). ASR systems often misrecognize user input and they are unreliable when it comes to judging their own performance.
Jonson, Rebecca
core
Towards an automatic speech recognition system for use by deaf students in lectures [PDF]
, 1994 According to the Royal National Institute for Deaf people there are nearly 7.5 million hearing-impaired people in Great Britain. Human-operated machine transcription systems, such as Palantype, achieve low word error rates in real-time.
Collingham, Russell James
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