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   Articles with "asr systems" as a keyword



Adaptive context biasing in transformer-based ASR systems

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-12121-4

Abstract: With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional computational complexity, requires increased resources,… read more here.

Keywords: adaptive context; biasing transformer; biased words; context biasing ... See more keywords

Enhancing Automatic Speech Recognition With Personalized Models: Improving Accuracy Through Individualized Fine-Tuning

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3443811

Abstract: Automatic speech recognition (ASR) systems have become increasingly popular in recent years due to their ability to convert spoken language into text. Nonetheless, despite their widespread use, existing speaker-independent ASR systems frequently encounter challenges related… read more here.

Keywords: methodology; recognition; asr systems; speech recognition ... See more keywords

A Study on the Impact of Lombard Effect on Recognition of Hindi Syllabic Units Using CNN Based Multimodal ASR Systems

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recommendations! Published in 2020 at "Archives of Acoustics"

DOI: 10.24425/aoa.2020.134058

Abstract: Research work on the design of robust multimodal speech recognition systems making use of acoustic and visual cues, extracted using the relatively noise robust alternate speech sensors is gaining interest in recent times among the… read more here.

Keywords: lombard effect; recognition; asr systems; speech ... See more keywords

ASR Systems as Models of Phonetic Category Perception in Adults

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recommendations! Published in 2017 at "Cognitive Science"

DOI: 10.31234/osf.io/57d8x

Abstract: SUBMISSION DETAILS Presentation Type Either Poster or Oral Presentation Presentation Abstract Summary Recent advances in machine learning raised the prospect of developing quantitative models of human perception that can handle realistic sensory input. In this… read more here.

Keywords: models phonetic; category perception; phonetic category; perception ... See more keywords