[PDF][PDF] A review of speech-centric trustworthy machine learning: Privacy, safety, and fairness
Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …
industries ranging from transportation and healthcare to education and defense …
Automatic speech recognition using advanced deep learning approaches: A survey
Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions
Federated learning (FL) is an approach within the realm of machine learning (ML) that
allows the use of distributed data without compromising personal privacy. In FL, it becomes …
allows the use of distributed data without compromising personal privacy. In FL, it becomes …
A first look into the carbon footprint of federated learning
Despite impressive results, deep learning-based technologies also raise severe privacy and
environmental concerns induced by the training procedure often conducted in data centers …
environmental concerns induced by the training procedure often conducted in data centers …
Novel speech recognition systems applied to forensics within child exploitation: Wav2vec2. 0 vs. whisper
JC Vásquez-Correa, A Álvarez Muniain - Sensors, 2023 - mdpi.com
The growth in online child exploitation material is a significant challenge for European Law
Enforcement Agencies (LEAs). One of the most important sources of such online information …
Enforcement Agencies (LEAs). One of the most important sources of such online information …
Fedaudio: A federated learning benchmark for audio tasks
Federated learning (FL) has gained substantial attention in recent years due to data privacy
concerns related to the pervasiveness of consumer devices that continuously collect data …
concerns related to the pervasiveness of consumer devices that continuously collect data …
Federated acoustic modeling for automatic speech recognition
Data privacy and protection is a crucial issue for any automatic speech recognition (ASR)
service provider when dealing with clients. In this paper, we investigate federated acoustic …
service provider when dealing with clients. In this paper, we investigate federated acoustic …
End-to-end speech recognition from federated acoustic models
Training Automatic Speech Recognition (ASR) models under federated learning (FL)
settings has attracted a lot of attention recently. However, the FL scenarios often presented …
settings has attracted a lot of attention recently. However, the FL scenarios often presented …
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
This paper investigates methods to effectively retrieve speaker information from the
personalized speaker adapted neural network acoustic models (AMs) in automatic speech …
personalized speaker adapted neural network acoustic models (AMs) in automatic speech …
Federated learning for asr based on wav2vec 2.0
This paper presents a study on the use of federated learning to train an ASR model based
on a wav2vec 2.0 model pre-trained by self supervision. Carried out on the well-known TED …
on a wav2vec 2.0 model pre-trained by self supervision. Carried out on the well-known TED …