AP Kaur, A Singh, R Sachdeva… - Multimedia Tools and …, 2023 - search.proquest.com
In the subject of pattern recognition, speech recognition is an important study topic. The authors give a detailed assessment of voice recognition strategies for several majority …
GE Zaharia, AM Avram, DC Cercel… - Proceedings of the …, 2021 - aclanthology.org
Dialect identification is a task with applicability in a vast array of domains, ranging from automatic speech recognition to opinion mining. This work presents our architectures used …
AM Avram, P Vasile, D Tufis - Proc. Rom. Acad. Ser. A, 2020 - academia.edu
This paper presents an implementation of an ASR system for the Romanian language that uses a multi-layer neural network architecture to transcribe the input speech, augmented …
GE Zaharia, AM Avram, DC Cercel… - Proceedings of the 7th …, 2020 - aclanthology.org
Dialect identification represents a key aspect for improving a series of tasks, for example, opinion mining, considering that the location of the speaker can greatly influence the attitude …
A Öktem, M Farrús, A Bonafonte - Language Resources and Evaluation, 2021 - Springer
Research on speech technologies necessitates spoken data, which is usually obtained through read recorded speech, and specifically adapted to the research needs. When the …
The evolution of Natural Language Processing technologies transformed them into viable choices for various accessibility features and for facilitating interactions between humans …
In this article, we introduce an extended, freely available resource for the Romanian language, named RoLEX. The dataset was developed mainly for speech processing …
Self-training is a simple and efficient way of leveraging un-labeled speech data:(i) start with a seed system trained on transcribed speech;(ii) pass the unlabeled data through this seed …
The Hausa language read-speech dataset was created by recording native Hausa speakers. The recording took place at Nile university of Nigeria audio studio and radio …