Cross|Lingual Transfer Learning for Automatic Speech Recognition

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 ...

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

Abstract: This paper investigates the effectiveness of transfer learning in building automatic speech recognition models for nine Turkic languages ...

Transfer learning for cross-lingual automatic speech recognition

Transfer learning for cross-lingual automatic speech recognition. Amit Das. Abstract—In this study, an instance based transfer learning phoneme modeling ...

Improving Techniques of Automatic Speech Recognition and ...

State-of-the-art automatic speech recognition (ASR) depends upon the existence of a corpus of material (audio recordings with time-coded transcriptions) and the ...

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

This repository contains links to (1) weights for automatic speech recognition (ASR) models built by applying cross-lingual transfer learning from Kazakh to ...

Cross-Language Transfer Learning, Contin...

Transfer learning from high-resource languages is known to be an efficient way to improve end-to-end automatic speech recognition (ASR) for low-resource ...

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

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

Cross-Language End-to-End Speech Recognition Research Based ...

3.2. End-to-End Speech Recognition Model Based on Transfer Learning. To solve the problem of the low resources of the Tujia language and ...

Cross-Language Transfer Learning, Continuous ... - NASA ADS

In this paper, we demonstrate the efficacy of transfer learning and continuous learning for various automatic speech recognition (ASR) tasks.

Facebook AI Proposes New Method To Improve Cross-Lingual ...

Transfer learning from high-resource languages is a useful method to improve end-to-end automatic speech recognition (ASR) for low-resource ...

Cross-Lingual Transfer Learning for Speech Translation

ing pre-training, the model learns in a multi-task. 115 fashion on automatic speech recognition, speech. 116 translation, voice activity detection, and language.

Coarse-To-Fine And Cross-Lingual ASR Transfer

Multilingual transfer learning in ASR is studied by Cho et al. [3]. First, they jointly train one model (encoder and decoder) on ten languages (approximately ...

Transfer Learning Methods for Spoken Language Understanding

We also use some transfer learning methods like correlation alignments to improve the robustness of the spoken language understanding system. Then we merge the ...

The Relevance of the Source Language in Transfer Learning for ASR

This study presents new experiments on Zyr- ian Komi speech recognition. We use Deep-. Speech to train ASR models from a language.

Improving Cross-Lingual Transfer Learnin...

Transfer learning from high-resource languages is known to be an efficient way to improve end-to-end automatic speech recognition (ASR) for ...

Cross Lingual Transfer Learning for Zero-Resource Domain ...

lingual speech recognition. 1. INTRODUCTION. In automatic speech recognition (ASR), the problem of building acoustic models that behave robustly in different ...

Linguistic disparities in cross-language automatic speech ... - Nature

In the current study, we apply the cross-language ASR transfer method to Tashlhiyt, which is under-resourced with respect to speech ...

Transfer Learning Approaches for Streaming End-to-End Speech ...

Transfer learning (TL) is widely used in conventional hybrid automatic speech recognition (ASR) system, to transfer the knowledge from source to target language ...

Multi-Feature Cross-Lingual Transfer Learning Approach for Low ...

Abstract—Based on neural network end-to-end speech synthesis systems, high-quality speech can be synthesized when there is sufficient ...

Multilingual Transfer Learning for Children Automatic Speech ...

Subsequently, this multilingual model is used to im- prove ASR for a target language –potentially different from those used in the multilingual ...