Cross|Lingual Transfer Learning for Automatic Speech Recognition

Improved Cross-Lingual Transfer Learning For Automatic Speech ...

Abstract:Research in multilingual speech-to-text translation is topical. Having a single model that supports multiple translation tasks is ...

Improving Cross-Lingual Transfer Learning for End-to-End Speech ...

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 ...

Cross-Language Transfer Learning and Domain Adaptation for End ...

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

Transfer learning for cross-lingual automatic speech recognition

Recognizing a target language with zero data training data of the target language in a multilingual ASR system is known as cross- language transfer. When ...

Cross-Lingual Transfer Learning for Speech Translation | OpenReview

Using speech-to-speech retrieval to analyse the audio representations generated by the encoder, we show that utterances from different languages ...

Cross-Lingual Transfer Learning for Automatic Speech Recognition

Cross-Lingual Transfer Learning for Automatic. Speech Recognition. Problem Description wav2vec 2.0. Experiments. Conclusion & Future Work. Data: ○ Training ...

Cross-Lingual Transfer Learning for Speech Translation - arXiv

Using speech-to-speech retrieval to analyse the audio representations generated by the encoder, we show that utterances from different languages ...

Improving Cross-Lingual Transfer Learning for End-to-End Speech ...

Abstract. 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 Knowledge Transfer and Iterative Pseudo-labeling for ...

Cross-lingual knowledge transfer and iterative pseudo-labeling are two techniques that have been shown to be successful for improving the accuracy of ASR ...

Parameter-efficient cross-language transfer learning for a language ...

In audiovisual speech recognition (AV-ASR), for many languages only few audiovisual data is available. Building upon an English model, in this work, ...

Cross-Lingual Transfer Learning for End-to-End Speech Translation

It was demonstrated that (1) Using the same language as the ASR pretraining language and the ST fine-tuning source language results in good performance. (2) A ...

Cross-Lingual Transfer Learning for Speech Translation

There has been increasing interest in building multilingual foundation models for NLP and speech research. Zero-shot cross-lingual transfer ...

Cross-Lingual Transfer - Papers With Code

Automatic speech recognition (ASR) for low-resource languages remains a challenge due to the scarcity of labeled training data. Paper

parameter-efficient cross-language transfer learning

ABSTRACT. In audiovisual speech recognition (AV-ASR), for many lan- guages only few audiovisual data is available. Building upon.

Improved Cross-Lingual Transfer Learning For Automatic Speech ...

... transfer than the baseline XLS-R, a multilingual speech transformer encoder trained via self-supervised learning. Research in multilingual speech-to-text ...

Text-to-speech system for low-resource language using cross ...

In the cross-lingual transfer learning method, we used two high-resource language datasets, English (24 h) and Japanese (10 h). We also used 30 ...

(PDF) Improved Cross-Lingual Transfer Learning For Automatic ...

Research in multilingual speech-to-text translation is topical. Having a single model that supports multiple translation tasks is desirable.

Transfer Learning For Spoken Language Processing - DSpace@MIT

In particular, we tackle domain adaptation in the context of Automatic Speech Recognition (ASR) and Cross-Lingual Learning in Automatic Speech Translation (AST) ...

Deep transfer learning for automatic speech recognition

ASR can be improved through language model, acoustic model, and multi-task learning. · Fine-tuning and domain adaptation are effective transfer ...

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 ...