The traditional approach of single-word brand names faces constraints due to trademarks,
prompting a shift towards fusing two or more words to craft unique and memorable brands …

Advances in Automatic Speech Recognition (ASR) over the last decade opened new areas
of speech-based automation such as in Air-Traffic Control (ATC) environment. Currently …

In this paper, we apply Semi-Supervised Learning (SSL) along with Data Augmentation (DA)
for improving the accuracy of End-to-End ASR. We focus on the consistency regularization …

Both unpaired speech and text have shown to be beneficial for low-resource automatic
speech recognition (ASR), which, however were either separately used for pre-training, self …

Air traffic management and specifically air-traffic control (ATC) rely mostly on voice
communications between Air Traffic Controllers (ATCos) and pilots. In most cases, these …

Automatic Speech Recognition (ASR), as the assistance of speech communication between
pilots and air-traffic controllers, can significantly reduce the complexity of the task and …

Automatic speech recognition (ASR) allows transcribing the communications between air
traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC …

Automatic Speech Recognition (ASR) can be used as the assistance of speech
communication between pilots and air-traffic controllers. Its application can significantly …

In air traffic management (ATM), voice communications are critical for ensuring the safe and
efficient operation of aircraft. The pertinent voice communications—air traffic controller …

The use of semi-supervised training (SST) has become an increasingly popular way of
increasing the performance of ASR acoustic models without the need for further transcribed …