[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …
management and logistic challenges which often result in design defects, project delivery …
An overview of voice conversion and its challenges: From statistical modeling to deep learning
Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while keeping the linguistic …
conversion, we change the speaker identity from one to another, while keeping the linguistic …
[HTML][HTML] Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
A survey on voice assistant security: Attacks and countermeasures
Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …
smartphones and smart speakers. As companies build voice assistants with extra …
Speaker anonymization using x-vector and neural waveform models
The social media revolution has produced a plethora of web services to which users can
easily upload and share multimedia documents. Despite the popularity and convenience of …
easily upload and share multimedia documents. Despite the popularity and convenience of …
Light convolutional neural network with feature genuinization for detection of synthetic speech attacks
Modern text-to-speech (TTS) and voice conversion (VC) systems produce natural sounding
speech that questions the security of automatic speaker verification (ASV). This makes …
speech that questions the security of automatic speaker verification (ASV). This makes …
Advances in anti-spoofing: from the perspective of ASVspoof challenges
In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …
This leads to an increased interest to secure these voice biometric systems for real-world …
Creating, using, misusing, and detecting deep fakes
H Farid - Journal of Online Trust and Safety, 2022 - tsjournal.org
Synthetic media—so-called deep fakes—have captured the imagination of some and struck
fear in others. Although they vary in their form and creation, deep fakes refer to text, image …
fear in others. Although they vary in their form and creation, deep fakes refer to text, image …
End-to-end text-to-speech for low-resource languages by cross-lingual transfer learning
End-to-end text-to-speech (TTS) has shown great success on large quantities of paired text
plus speech data. However, laborious data collection remains difficult for at least 95% of the …
plus speech data. However, laborious data collection remains difficult for at least 95% of the …
Who are you (i really wanna know)? detecting audio {DeepFakes} through vocal tract reconstruction
Generative machine learning models have made convincing voice synthesis a reality. While
such tools can be extremely useful in applications where people consent to their voices …
such tools can be extremely useful in applications where people consent to their voices …