Cross|Lingual Transfer Learning for Automatic Speech Recognition

Cross-Lingual Transfer - Papers With Code

Cross-lingual transfer refers to transfer learning using ... K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables.

Word-level Embeddings for Cross-Task Transfer Learning in Speech ...

Automatic Speech Recognition (ASR) is an application of unsupervised [10], [11] or self-supervised [12], [13] speech representations, as a model pre-training ...

End-to-End Text-to-Speech for Low-Resource Languages by Cross ...

First, we pretrain an automatic speech recognition (ASR) sys- tem on source ... In this paper, we explored cross-lingual transfer learning in end-to ...

MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF ... - HAL

We propose a simple and effective cross-lingual transfer learning method to adapt monolingual wav2vec-2.0 models for Automatic Speech Recognition (ASR) in ...

Representation transfer learning from deep end-to-end speech ...

This approach is comprising the use of Automatic Speech Recognition (ASR) deep neural networks as feature extractors, the fusion of several extracted feature ...

Multi-Task and Transfer Learning in Low-Resource Speech ...

Format: PDF ; Author. Meyer, Josh ; Issue Date. 2019 ; Keywords. Automatic Speech Recognition · Deep Neural Networks · Low-Resource Languages · Multi-Task Learning

Advancing Speech Recognition with Transfer Learning Techniques

This fine-tuning stage helps the model adapt to the specific target task, achieving state-of-the-art results in automatic speech recognition ( ...

Effects of Language Relatedness for Cross-lingual Transfer ...

Effects of Language Relatedness for Cross-lingual Transfer Learning ... character NNLMs applied to low-resource Automatic Speech Recognition (ASR) ...

Development of Automatic Speech Recognition for Kazakh ... - Warse

Development of Automatic Speech Recognition for Kazakh. Language using Transfer Learning. Amirgaliyev Beibut1, Kuanyshbay Darkhan2,3, Baimuratov Olimzhan3 ...

Cross-Lingual Transfer Learning Approach to Pronunciation Error ...

Automatic Speech Recognition (ASR) techniques has grown increasingly popular in recent years. 2 Existing Research. A notable contribution to ...

Speech Recognition for Turkic Languages Using Cross-Lingual ...

This paper investigates the effectiveness of transfer learning in building automatic speech recognition models for nine Turkic languages (Azerbaijani, ...

Architecture, Transfer Learning, and Language Modeling - VUT FIT

Index Terms: Automatic speech recognition (ASR), sequence to sequence, multilingual setup, transfer learning, language modeling. 1. INTRODUCTION. The sequence ...

Transfer learning from multi-lingual speech translation benefits low ...

In this article, we propose a simple yet effective approach to train an end-to-end speech recognition system on languages with limited resources ...

A Survey of Multilingual Models for Automatic Speech Recognition

The problem of cross-lingual transfer has been well studied in ASR, however, recent advances in Self Supervised Learning are opening up avenues for unlabeled ...

Exploring Transfer Learning For End-to-End Spoken Language ...

pipeline; first, an Automatic Speech Recognition (ASR) com- ponent to process customer speech and generate text tran- scriptions, followed by a Natural ...

An Analysis of Phonetic Representations Transfer Across ... - NSF PAR

Although the application of deep learning to automatic speech recognition (ASR) has resulted in dramatic reductions in word error rate for ...

Cross-Lingual Transfer Learning for Hate Speech Detection

We address the task of automatic hate speech detection for low-resource languages. Rather than collecting and annotating new hate.

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog

The transcriptions used to train an Automatic Speech Recognition (ASR) system may contain errors. Usually, either a quality control stage ...

Multilingual end-to-end ASR for low-resource Turkic languages with ...

To obtain a reliable and accurate automatic speech recognition (ASR) machine learning model, it is necessary to have sufficient audio data ...

Improving Automatic Speech Recognition for Non-native English ...

One method that is common in ASR systems is language model decoding, which re-weights output probabilities to account for greater likelihoods of ...