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Found 7 papers, 0 papers with code
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning
With the widespread commercialization of smart devices, research on environmental sound classification has gained more and more attention in recent years.
The NTNU Taiwanese ASR System for Formosa Speech Recognition Challenge 2020
This paper describes the NTNU ASR system participating in the Formosa Speech Recognition Challenge 2020 (FSR-2020) supported by the Formosa Speech in the Wild project (FSW).
Effective Decoder Masking for Transformer Based End-to-End Speech Recognition
The attention-based encoder-decoder modeling paradigm has achieved promising results on a variety of speech processing tasks like automatic speech recognition (ASR), text-to-speech (TTS) and among others.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features
Tremendous amounts of multimedia associated with speech information are driving an urgent need to develop efficient and effective automatic summarization methods.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
An Effective End-to-End Modeling Approach for Mispronunciation Detection
Recently, end-to-end (E2E) automatic speech recognition (ASR) systems have garnered tremendous attention because of their great success and unified modeling paradigms in comparison to conventional hybrid DNN-HMM ASR systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
The NTNU System at the Interspeech 2020 Non-Native Children's Speech ASR Challenge
This paper describes the NTNU ASR system participating in the Interspeech 2020 Non-Native Children's Speech ASR Challenge supported by the SIG-CHILD group of ISCA.
