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

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

We introduce speech-to-text translation (ST) as an auxiliary task to incorporate additional knowledge of the target language and enable transferring from that ...

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 ...

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

Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with. Speech Translation. Changhan Wang, Juan Pino, Jiatao Gu. INTERSPEECH 2020 ...

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

The goal of this work it to improve cross-lingual transfer learning in multilingual speech-to-text translation via semantic knowledge distillation.

(PDF) Cross-Lingual Transfer Learning for End-to-End Speech ...

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 End-to-End Speech Translation

We propose cross-lingual transfer learning for end-to-end ST, where the model parameters are transferred from the ST pretraining stage for one language pair to ...

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 Speech Translation | OpenReview

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

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

By initializing the encoder of the encoder-decoder sequence-to-sequence translation model with SAMU-XLS-R, a multilingual speech transformer encoder trained ...

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

This has shown to be effective in the field of multilingual MT, especially when the knowledge is transferred from a high-resource language pair ...

Cross-Lingual Transfer Learning for Speech Translation

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 Low-Resource Speech ...

Abstract: The paper presents a novel three-step transfer learning framework for enhancing cross-lingual transfer from high- to low-resource languages in the ...

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 ...

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

Neural end-to-end architectures have been recently proposed for spoken language translation (SLT), following the state-ofthe-art results obtained in machine ...

Cross-Lingual Transfer Learning for Hate Speech Detection

Our results indicate that cross-lingual transfer learning together with our approach to leverage additional unlabeled data is an effective way of achieving good ...

Cross-Lingual Transfer Learning for Speech Translation - AIModels.fyi

This is a challenging task, as it requires understanding both the audio signal and the meaning of the words. One way to improve speech ...

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 ...

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

External Links · Cite Key · Statistics · PDF · Researchr · Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation.

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

... language-modular audiovisual speech ... Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end ...

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 ...