Chinese spoken named entity recognition in real-world scenarios: Dataset and approaches
Abstract Spoken Named Entity Recognition (NER) aims to extract entities from speech. The
extracted entities can help voice assistants better understand user's questions and …
extracted entities can help voice assistants better understand user's questions and …
Icmc-asr: The icassp 2024 in-car multi-channel automatic speech recognition challenge
To promote speech processing and recognition research in driving scenarios, we build on
the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at …
the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at …
LeVoice ASR systems for the ISCSLP 2022 intelligent cockpit speech recognition challenge
Y Jia, M Hong, J Hou, K Ren, S Ma… - … on Chinese Spoken …, 2022 - ieeexplore.ieee.org
This paper describes LeVoice automatic speech recognition systems to track2 of intelligent
cockpit speech recognition challenge 2022. Track2 is a speech recognition task without …
cockpit speech recognition challenge 2022. Track2 is a speech recognition task without …
Efficient Conformer-based CTC model for intelligent cockpit speech recognition
H Guo, Y Chen, X Xie, G Xu… - 2022 13th International …, 2022 - ieeexplore.ieee.org
In this paper, we discuss the rationale of our work for automatic speech recognition (ASR) in
the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge and provide a detailed …
the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge and provide a detailed …
The Fawaispeech System for Multi-Channel Speech Recognition in ICMC-ASR Challenge
Y Sun, J He, Y Zhang, X Liang, Z Wang… - … , Speech, and Signal …, 2024 - ieeexplore.ieee.org
This paper describes our FawAISpeech system for the Automatic Speech Recognition (ASR)
task in the In-car Multi-Channel Automatic Speech Recognition Challenge (ICMC-ASR) …
task in the In-car Multi-Channel Automatic Speech Recognition Challenge (ICMC-ASR) …