Results 71 to 80 of about 48,773 (160)

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

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

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 out of vocabulary words recognition accuracy for an end-to-end Russian speech recognition system

Научно-технический вестник информационных технологий, механики и оптики
Automatic Speech Recognition (ASR) systems are experiencing an active introduction into our daily lives, simplifying the way we interact with electronic devices. The advent of end-to-end approaches has only accelerated this process. However, the constant
A. Yu. Andrusenko, A. N. Romanenko
doaj   +1 more source

Speech-and-Text Transformer: Exploiting Unpaired Text for End-to-End Speech Recognition

APSIPA Transactions on Signal and Information Processing, 2023
Qinyi Wang, Xinyuan Zhou, Haizhou Li
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

End-to-end audiovisual speech recognition based on attention fusion of SDBN and BLSTM

Dianxin kexue, 2019
An end-to-end audiovisual speech recognition algorithm was proposed.In algorithm,a sparse DBN was constructed by introducing mixed l_1/2norm and l₁norm into Deep Belief Network with bottleneck structure to ...
Yiming WANG, Ken CHEN, Aihaiti ABUDUSALAMU   +2 more
doaj   +2 more sources