Automatic speech recognition
Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss
... assess speech processing for listeners with simulated age-related hearing loss (ARHL) and to investigate whether the observed performance can be replicated using an automatic speech ...
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Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges
... of Automatic Speech Recognition (ASR) in their design [4][5][26][15][16][9][22] and some of them take into account the challenge of Distant Speech Recogni- tion ...
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Automatic Speech Recognition for African Languages with Vowel Length Contrast
... This paper is organized as following. In Section 2, we summarize the works done in automatic speech recognition for under-resourced languages and mention some studies dedicated to vowel length ...
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
... cascade speech-to-text translation (ST) systems operate in two steps: source language automatic speech recognition (ASR) and source-to-target text machine translation (MT), recent works have ...
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Dynamic adjustment of language models for automatic speech recognition using word similarity
... INTRODUCTION Automatic speech recognition (ASR) systems are often trained on large but static text corpora and with a fixed vocab- ...recognize speech about current events, this can pose a ...
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Parallel Recognizer Algorithm for Automatic Speech Recognition
... NRC Publications Archive Record / Notice des Archives des publications du CNRC : https://nrc-publications.canada.ca/eng/view/object/?id=860b4263-410a-4a17-b71b-3df920903733 https://publi[r] ...
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A Soft Computing Approach for On-Line Automatic Speech Recognition in Highly Non-Stationary Acoustic Environments.
... When we consider human-computer communications, like ASR and machine dialog systems, it is essential to monitor the audio streams of source speakers, background acoustic environments, and channel changes since they ...
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Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof
... 6. Conclusion This paper presented the data collected and ASR systems developped for 4 sub-saharan african languages (Swahili, Hausa, Amharic and Wolof). All data and scripts are avail- able online on our github 8 ...
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Analysis and modeling of non-native speech for automatic speech recognition
... Since we only have manual word transcriptions for the utterances in the corpus, we create forced phonetic transcriptions or forced paths: We begin with a set of exi[r] ...
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Natural Interaction for Serious Games : Enhancing Training Simulators through Automatic Speech Recognition
... Publisher’s version / Version de l'éditeur: 2010 Interservice/Industry Training, Simulation and Education Conference I/ITSEC 2010 [Proceedings], 2010-12-02 NRC Publications Archive Recor[r] ...
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Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition
... Since the phase difference is defined modulo 2π only, we use its cosine and sine as features, as used in [17] for speaker localization and in [9] for speech separation. We refer to these features as cosine-sine ...
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Belief Hidden Markov Model for speech recognition
... Terms—Speech recognition, HMM, Belief functions, Belief ...The automatic speech recognition is a domain of science that attracts the attention of the ...The speech processing ...
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Automatic Assessment of Speech Capability Loss in Disordered Speech
... In speech disorders, an assessment of a person’s communication ability is often needed to complement clinical evaluations at the physiological ...of speech abilities is very time-consuming, which does not ...
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Semantic Context Model for Efficient Speech Recognition
... Introduction Automatic speech recognition system (ASR) contains three main parts: an acoustic model, a lexicon and a language model. ASR in noisy environments is still a challenging goal because the ...
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Improving Speech Recognition through Automatic Selection of Age Group Specific Acoustic Models
... an automatic speech ...in automatic speech recognition performance, as compared with using “standard” acoustic models trained with young to middle-aged adults’ speech for ...
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Amharic Speech Recognition for Speech Translation
... state-of-the-art speech translation can be seen as a cascade of Automatic Speech Recognition, Statistical Machine Translation and Text-To-Speech ...Amharic speech ...
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Improving Speech Recognition through Automatic Selection of Age Group Specific Acoustic Models
... an automatic speech ...in automatic speech recognition performance, as compared with using “standard” acoustic models trained with young to middle-aged adults’ speech for ...
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Using Speech for Handwritten Mathematical Expression Recognition Disambiguation
... the speech recognition community has been interested by the problem of mathematical expres- sion recognition (MER) using automatic speech recognition (ASR) [3], ...basic ...
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The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection
... Tower speech interactions. Transcribing pilots’ speech was found to be twice as harder as controllers’ ...ATC speech data for semi-supervised acoustic model training, and it was re- vealed to be ...
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Consonant landmark detection for speech recognition
... the speech sound produced with a complete closure inside the oral tract from the sound produced with a narrow constriction, which results in turbulence noise during the ...a speech sound has the ...
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