This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce the associated dataset collected from a new-energy vehicle (NEV) covering a variety of cockpit acoustic conditions and linguistic contents. We then describe the track arrangement and the baseline system. Specifically, we set up two tracks in terms of allowed model/system size to investigate resource-constrained and -unconstrained setups, targeting to vehicle embedded as well as cloud ASR systems respectively. Finally we summarize the challenge results and provide the major observations from the submitted systems.Comment: Accepted by ISCSLP202
There are a number of challenges associated with incorporating speech recognition technology into th...
The maturity of automatic speech recognition (ASR) systems at controller working positions is curren...
This paper describes the acquisition of the multichannel multimodal database AV@CAR for automatic au...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1990.In...
In this paper, we describe the outcomes of the challenge organized and run by Airbus and partners in...
Nowadays, recognizing and understanding human speech is quite popular through systems like Alexa®, t...
Automatic Speech Recognition (ASR) technology and its application to the Air Traffic Control system ...
AbstractThis paper chronicles the development of Automatic Speech Recognition (ASR) system that can ...
Speech technologies are being developed intensively in the recent years, especially the automatic sp...
International audienceDistant-microphone automatic speech recognition (ASR) remains a challenging go...
Over the past few years, a lot of research has been conducted to bring Automatic Speech Recognition ...
oai:ojs.portalgaruda.org:article/159Speech recognition is a rapidly emerging technology in Human Com...
This paper describes the safety assessment conducted in SESAR2020 project PJ.10-W2-96 ASR on automat...
The use of speech recognition in automotive environments\ud has received increased attention in rece...
Weather information latency during flight in general aviation (GA) has resulted in numerous incident...
There are a number of challenges associated with incorporating speech recognition technology into th...
The maturity of automatic speech recognition (ASR) systems at controller working positions is curren...
This paper describes the acquisition of the multichannel multimodal database AV@CAR for automatic au...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1990.In...
In this paper, we describe the outcomes of the challenge organized and run by Airbus and partners in...
Nowadays, recognizing and understanding human speech is quite popular through systems like Alexa®, t...
Automatic Speech Recognition (ASR) technology and its application to the Air Traffic Control system ...
AbstractThis paper chronicles the development of Automatic Speech Recognition (ASR) system that can ...
Speech technologies are being developed intensively in the recent years, especially the automatic sp...
International audienceDistant-microphone automatic speech recognition (ASR) remains a challenging go...
Over the past few years, a lot of research has been conducted to bring Automatic Speech Recognition ...
oai:ojs.portalgaruda.org:article/159Speech recognition is a rapidly emerging technology in Human Com...
This paper describes the safety assessment conducted in SESAR2020 project PJ.10-W2-96 ASR on automat...
The use of speech recognition in automotive environments\ud has received increased attention in rece...
Weather information latency during flight in general aviation (GA) has resulted in numerous incident...
There are a number of challenges associated with incorporating speech recognition technology into th...
The maturity of automatic speech recognition (ASR) systems at controller working positions is curren...
This paper describes the acquisition of the multichannel multimodal database AV@CAR for automatic au...