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

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 ...

Architecture, Transfer Learning, and Language Modeling - VUT FIT

[5] Alex Graves and Navdeep Jaitly, “Towards end-to-end speech recognition with recurrent neural networks.,” in ICML, 2014, vol. 14, pp. 1764–1772. [6] Alex ...

Transfer learning methods for low-resource speech accent recognition

The results reveal the substantial impact of information transfer from ASR models, significantly enhancing accent recognition capabilities. The obtained accent ...

Multilingual Transfer Learning for Code-Switched Language and ...

Deep learning approaches have enabled natural language systems to achieve significant improvement towards human-level performance on languages with huge amounts ...

A Review of Trends and Challenges in Adopting AI Models Through ...

Y Bai, Fast End-to-End Speech Recognition Via Non ... K Ding, A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning, Proc.

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 ...

How To Implement Cross-lingual Transfer Learning In 5 Different Ways

Cross-lingual transfer learning is a machine learning technique that involves transferring knowledge or models from one language to another.

Coarse-To-Fine And Cross-Lingual ASR Transfer

Contemporary end-to-end, deep-learning automatic speech recognition systems achieved state-of-the-art results on many public speech corpora, see e.g. Chiu et al ...

Javanese part-of-speech tagging using cross-lingual transfer learning

We found that the models using cross-lingual transfer learning can increase the accuracy of the models with-out using cross-lingual transfer learning by ...

Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue ...

Therefore, this study aims to explore the effectiveness of cross-lingual transfer learning in building an end-to-end Arabic task-oriented DS ...

Transfer Learning for Multilingual and Cross-Lingual NLP - LinkedIn

However, not all languages have the same amount of data and resources available for NLP tasks, such as sentiment analysis, machine translation, ...

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

The use of embeddings is in fact a form of transfer learning; we leverage the results of language modelling on large datasets in order to improve the.

transfer learning of language-independent end-to-end asr

Fast system development for low-resourced new languages is one of the challenges in automatic speech recognition (ASR). Recently, end-to-end ASR systems based ...

End-to-End Speech Translation Progress - GitHub

EACL 2021 tutorial: Speech Translation · ESPNet-ST · [arXiv] Tuning Large language model for End-to-end Speech Translation · [arXiv] AdaTranS: Adapting with ...

Make the Best of Cross-lingual Transfer: Evidence from POS ...

Cross-lingual transfer learning with large multilingual pre-trained models can be an effective approach for low-resource languages with no labeled training data ...

Cross-lingual transfer of phonological features for low-resource ...

Previous work on cross-lingual transfer learning in text-to-speech has shown the effectiveness of fine-tuning phonemic representations on ...

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual ...

We compare against a strong baseline, mul- tilingual BERT (mBERT) (Devlin et al. 2018), in different cross-lingual transfer learning scenarios and show gains in.

Transfer Learning For Spoken Language Processing Sameer Khurana

and proposes a simple yet effective cross-lingual transfer learning algorithm (Section ... tion for End-to-End Automatic Speech Recognition (ASR) and cross- ...

Effective Cross-lingual Transfer of Neural Machine ... - RWTH Aachen

Transfer learning or multilingual model is essential for low-resource neural machine translation (NMT), but the applicability is.