14 citations · 26 across the 10 of their papers we have counts for
11 papers
Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator
Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlicek +3
This paper describes a simple yet efficient repetition-based modular system for speeding up air-traffic controllers (ATCos) training. E.g., a human pilot is still required in EUROC…
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
Esaú Villatoro-Tello, Srikanth Madikeri, Juan Zuluaga-Gomez +6
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup. We benc…
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Juan Zuluaga-Gomez, Karel Veselý, Igor Szöke +13
Personal assistants, automatic speech recognizers and dialogue understanding systems are becoming more critical in our interconnected digital world. A clear example is air traffic…
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina +6
Recent work on self-supervised pre-training focus on leveraging large-scale unlabeled speech data to build robust end-to-end (E2E) acoustic models (AM) that can be later fine-tuned…
A two-step approach to leverage contextual data: speech recognition in air-traffic communications
Iuliia Nigmatulina, Juan Zuluaga-Gomez, Amrutha Prasad +2
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 in…
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications
Juan Zuluaga-Gomez, Seyyed Saeed Sarfjoo, Amrutha Prasad +5
Automatic speech recognition (ASR) allows transcribing the communications between air traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract…
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition
Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlicek +4
Automatic Speech Recognition (ASR) for air traffic control is generally trained by pooling Air Traffic Controller (ATCO) and pilot data into one set. This is motivated by the fact…
Speech Activity Detection Based on Multilingual Speech Recognition System
Seyyed Saeed Sarfjoo, Srikanth Madikeri, Petr Motlicek
To better model the contextual information and increase the generalization ability of Speech Activity Detection (SAD) system, this paper leverages a multi-lingual Automatic Speech…
Graph2Speak: Improving Speaker Identification using Network Knowledge in Criminal Conversational Data
Mael Fabien, Seyyed Saeed Sarfjoo, Petr Motlicek +1
Criminal investigations mostly rely on the collection of speech conversational data in order to identify speakers and build or enrich an existing criminal network. Social network a…
Transformation of low-quality device-recorded speech to high-quality speech using improved SEGAN model
Seyyed Saeed Sarfjoo, Xin Wang, Gustav Eje Henter +3
Nowadays vast amounts of speech data are recorded from low-quality recorder devices such as smartphones, tablets, laptops, and medium-quality microphones. The objective of this res…
Incorporation of Speech Duration Information in Score Fusion of Speaker Recognition Systems
Ali Khodabakhsh, Seyyed Saeed Sarfjoo, Umut Uludag +2
In recent years identity-vector (i-vector) based speaker verification (SV) systems have become very successful. Nevertheless, environmental noise and speech duration variability st…