Results 71 to 80 of about 47,965 (148)

End-to-End Speech Recognition of Tamil Language [PDF]

Intelligent Automation & Soft Computing, 2022
Mohamed Hashim Changrampadi, A. Shahina, M. Badri Narayanan, A. Nayeemulla Khan   +3 more
openaire   +1 more source

End-to-End Speech Endpoint Detection Utilizing Acoustic and Language Modeling Knowledge for Online Low-Latency Speech Recognition

IEEE Access, 2020
Speech endpoint detection (EPD) benefits from the decoder state features (DSFs) of online automatic speech recognition (ASR) system. However, the DSFs are obtained via the ASR decoding process, which can become prohibitively expensive especially in ...
Inyoung Hwang, Joon-Hyuk Chang
doaj   +1 more source

End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition

Scientific Reports
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech signals on the fly, ensuring accurate transcription as the speech unfolds.
Mohamed Medani, Nasir Saleem, Fethi Fkih, Manal Abdullah Alohali, Hela Elmannai, Sami Bourouis   +5 more
doaj   +1 more source

Advances in Completely Automated Vowel Analysis for Sociophonetics: Using End-to-End Speech Recognition Systems With DARLA. [PDF]

Front Artif Intell, 2021
Coto-Solano R, Stanford JN, Reddy SK.
europepmc   +1 more source

Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition. [PDF]

Sensors (Basel), 2021
Laptev A, Andrusenko A, Podluzhny I, Mitrofanov A, Medennikov I, Matveev Y.   +5 more
europepmc   +1 more source

Recent Advances in End-to-End Automatic Speech Recognition

APSIPA Transactions on Signal and Information Processing, 2022
Jinyu Li
doaj   +1 more source

End-to-end neural automatic speech recognition system for low resource languages

Egyptian Informatics Journal
The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and ...
Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú   +4 more
doaj   +1 more source

Ensembles of Hybrid and End-to-End Speech Recognition.

Proceedings of the Language Resources and Evaluation Conference
Contains fulltext : 312575.pdf (Publisher’s version ) (Open Access)
Parikh, A.K., Bosch, L.F.M. ten, Heuvel, H. van den   +2 more
openaire   +3 more sources

Continuous speech recognition for Tamil language using a novel semantic verification integrated with the transformer model

EURASIP Journal on Audio, Speech, and Music Processing
Automatic speech recognition (ASR) is a technology that decodes and transcribes spoken language into text. Using a microphone to capture audio from a speaker, ASR systems process this input through algorithms or models to produce written output, which is
Priyanka Muruganandham, Sangeetha Jayaraman, Ramesh Raman   +2 more
doaj   +1 more source

Improving Hybrid CTC/Attention Architecture with Time-Restricted Self-Attention CTC for End-to-End Speech Recognition

Applied Sciences, 2019
As demonstrated in hybrid connectionist temporal classification (CTC)/Attention architecture, joint training with a CTC objective is very effective to solve the misalignment problem existing in the attention-based end-to-end automatic speech recognition (
Long Wu, Ta Li, Li Wang, Yonghong Yan
doaj   +1 more source