Exploring Transformer-based Language Recognition using Phonotactic Information

David Romero; Luis Fernando D’Haro; Christian Salamea

doi:10.21437/iberspeech.2021-53

ScienceGate Book Chapters

JOURNAL ARTICLE

Exploring Transformer-based Language Recognition using Phonotactic Information

David Romero Luis Fernando D’Haro Christian Salamea

Year: 2021

DOI: 10.21437/iberspeech.2021-53

Get Full-Text PDF Get Analytical Report

Keywords:

Phonotactics Computer science Transformer Speech recognition Artificial intelligence Natural language processing Phonology Linguistics Electrical engineering Engineering

Metrics

Cited By

0.99

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Exploring Transformer-based Language Recognition using Phonotactic Information

Metrics

Citation History

Topics

Related Documents

Phonotactic language recognition using dynamic pronunciation and language branch discriminative information

Multi-lingual Phoneme Recognition and Language Identification Using Phonotactic Information

Phonotactic Language Recognition Using A Universal Phoneme Recognizer and A Transformer Architecture

Phonotactic language recognition using MLP features

Improved Phonotactic Language Recognition Using Collaborated Language Model