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20172026
most citedCompressing Recurrent Neural Network with Tensor Train

111 citations · 208 across the 26 of their papers we have counts for

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26 papers · 1 filter

cs.CL2025

SimulSense: Sense-Driven Interpreting for Efficient Simultaneous Speech Translation

Haotian Tan, Hiroki Ouchi, Sakriani Sakti

How to make human-interpreter-like read/write decisions for simultaneous speech translation (SimulST) systems? Current state-of-the-art systems formulate SimulST as a multi-turn di…

cs.CL20241 cited

Indonesian-English Code-Switching Speech Synthesizer Utilizing Multilingual STEN-TTS and Bert LID

Ahmad Alfani Handoyo, Chung Tran, Dessi Puji Lestari +1

Multilingual text-to-speech systems convert text into speech across multiple languages. In many cases, text sentences may contain segments in different languages, a phenomenon know…

cs.CL20241 cited

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory

Geoffrey Tyndall, Kurniawati Azizah, Dipta Tanaya +3

Continual learning for automatic speech recognition (ASR) systems poses a challenge, especially with the need to avoid catastrophic forgetting while maintaining performance on prev…

cs.CL2024

Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities

Aulia Adila, Dessi Lestari, Ayu Purwarianti +3

An ideal speech recognition model has the capability to transcribe speech accurately under various characteristics of speech signals, such as speaking style (read and spontaneous),…

cs.CL2024

On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition

Nick Rossenbach, Ralf Schlüter, Sakriani Sakti

The rapid development of neural text-to-speech (TTS) systems enabled its usage in other areas of natural language processing such as automatic speech recognition (ASR) or spoken la…

cs.CL20241 cited

Contrastive Feedback Mechanism for Simultaneous Speech Translation

Haotian Tan, Sakriani Sakti

Recent advances in simultaneous speech translation (SST) focus on the decision policies that enable the use of offline-trained ST models for simultaneous inference. These decision…