Search Results for author:
Found 6 papers, 4 papers with code
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
In this paper, we introduce the ATCO2 corpus, a dataset that aims at fostering research on the challenging ATC field, which has lagged behind due to lack of annotated data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
A two-step approach to leverage contextual data: speech recognition in air-traffic communications
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 increase the reliability of transmitted information.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications
We propose a system that combines SAD and a BERT model to perform speaker change detection and speaker role detection (SRD) by chunking ASR transcripts, i. e., SD with a defined number of speakers together with SRD.
Transformation of low-quality device-recorded speech to high-quality speech using improved SEGAN model
Nowadays vast amounts of speech data are recorded from low-quality recorder devices such as smartphones, tablets, laptops, and medium-quality microphones.
Sound Audio and Speech Processing
Incorporation of Speech Duration Information in Score Fusion of Speaker Recognition Systems
Here, we investigate the effect of speech duration on the performance of three state-of-the-art speaker recognition systems.
