Transfer Learning for Reported Speech Detection in Slovenian ...

This paper describes the development of a reported speech clas- sifier for Slovenian news texts using transfer learning. Due to a lack of ...

This paper describes the development of a reported speech clas- sifier for Slovenian news texts using transfer learning. Due to a lack of Slovenian training ...

Transfer Learning for Reported Speech Detection in Slovenian ...

This paper describes the development of a reported speech classifier for Slovenian news texts using transfer learning.

Zoran Fijavž - Videolectures

Uploaded videos · Slovene Word Sense Disambiguation using Transfer Learning · Borrowing Words: Transfer Learning for Reported Speech Detection in Slovenian Ne...

Slovenian KDD Conference on Data Mining and Data Warehouses ...

... Detection and Link Analysis, Social Network ... Borrowing Words: Transfer Learning for Reported Speech Detection in Slovenian Ne...

Analysis of Transfer Learning for Named Entity Recognition in South ...

The results show that this is not the case for the Slovene language, while for Croatian and. Serbian, the results are better in selected cross-.

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 ...

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 ...

Transfer Learning from Multi-Lingual Speech Translation Benefits ...

This method is partic- ularly relevant for Automatic Speech Recognition (ASR) with limited data and/or compute budget during training. Index Terms: Speech ...

Speech Emotion Recognition Using Transfer Learning - MDPI

Section 5 reports the experimental results and comparative analyses. ... Slovenia, 12–13 November 2020; pp. 388–393. [Google Scholar]; Yu, Y.; Kim, Y ...

Transfer learning from English to Slovak in speech recognition ...

Request PDF | On Apr 19, 2023, Anton Buday and others published Transfer learning from English to Slovak in speech recognition applications | Find, ...

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

We report the XLS-R (speech encoder)→MBART (text de- coder) transformer model's performance on the high, mid, and low-resource translation groups in Fig. 1. We ...

Sequence-to-sequence pretraining for a less-resourced Slovenian ...

Discussion: While the results are obtained on Slovene, we believe that they may generalize to other less-resourced languages, where such models ...

Transfer Learning for Speech and Language Processing

For example in speech recognition, an acoustic model trained for one language can be used to recognize speech in another language, with little or no re-training ...

Reminder of the First Paper on Transfer Learning in Neural ...

Slovenian Society for Pattern Recognition · Slovenian Artificial Intelligence ... And it gives an application of transfer learning in pattern recognition using ...

Neural Transfer Learning for Natural Language Processing

Speech recognition Recent multi-task learning approaches for automatic speech ... We report the averaged accuracy scores for transfer across all tasks in ...

Super Multi-lingual End-to-End Speech Recognition and Its Transfer ...

Cho et al. reported the effectiveness of transfer learning by pre- training on 10 source languages and then fine-tuning on 4 low-resource ...

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

Cross-lingual transfer learning: Since large amounts of data are often unavailable for low-resource languages, most of the proposed approaches ...

Transfer Learning For Spoken Language Processing Sameer Khurana

Speech Recognition (ASR) and Cross-Lingual Learning in Automatic Speech Trans- ... 6-1 We report translation performance on 21 X→EN speech-to-text trans-.

TTL: transformer-based two-phase transfer learning for cross-lingual ...

Also, we empirically evaluate how the event detection performance can be improved for different languages (high- and low-resource), involving ...