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

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust ...

The experimental results demonstrate that robust training improves zero-shot cross-lingual transfer on text classification tasks. The improvement is more ...

Cross-Lingual Transfer - Papers With Code

Cross-Lingual Transfer Learning for Speech Translation ... By fine-tuning the Whisper decoder with only English-to-Chinese speech translation data, improved ...

Cross-Lingual Transfer Learning for Hate Speech Detection

Using our transferred system we bootstrap on unlabeled target language data, improving the performance of standard cross-lingual transfer.

Cross-Lingual Transfer Learning for Speech Translation - NASA/ADS

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

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-Lingual Transfer Learning for Automatic Speech Recognition

Using a language model to improve the grammatical accuracy. • Extending the transfer learning framework to more low resource languages. • wav2vec 2.0 ...

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

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

Cross-lingual transfer learning for multilingual voice agents

Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service ...

Cross-Lingual Low-Resources Speech Emotion Recognition with ...

Yet, due to the domain shift between source and target data distributions traditional transfer learning methods often fail to transfer emotional ...

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 ...

Cross-Lingual Transfer Learning for Speech Translation

on Learning Representations (ICLR). 398. Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, and. 399. Shinji Watanabe. 2019. Multilingual end-to-end ... in Table 2, ...

Cross-lingual offensive speech identification with transfer learning ...

In detail, we propose an agreement regularized training that combines adversarial learning and transfer learning. Augmenting low-resource training data with ...

Transfer Learning for Low-Resource Part-of-Speech Tagging

... cross-lingual transfer learning ... In this paper, we explore transfer learning approaches to improve POS tagging in Afrikaans using a neural network.

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

0 model pre-trained on unlabelled multilingual speech. Phoneme mapping for each language is determined based on difference of articulation of ...

Cross-language transfer learning for deep neural network based ...

Abstract: In this paper, we propose a transfer learning approach to adapt a well-trained model obtained with high-resource materials of one language to ...

Cross-lingual Transfer Learning for Low-Resource Natural ...

The calculation process of a tensor flowing from one end of the flow graph to the other end. It vividly describes the flow, transmission, analysis and ...

Improving Cross-lingual Representation for Semantic Retrieval with ...

To this end, in this work, we propose an Alternative Cross-lingual PTM for SR via code-switching. We are the first to utilize the code-switching approach for ...

Multilingual Transfer Learning for QA using Translation as Data ...

In this work, we explore strategies that improve cross-lingual transfer by bringing the multilingual embeddings closer in the semantic space. Our first strategy ...

Cross-Lingual Transfer with Language-Specific Subnetworks for ...

We introduce dynamic subnetworks, which are jointly updated with the model, and we combine our methods with meta-learning, an established, but complementary, ...

Cross-Lingual Transfer Learning for Low-Resource Speech ...

The paper presents a novel three-step transfer learning frame- work for enhancing cross-lingual transfer from high- to ... End-to-end multilingual ...