Text-to-Speech (TTS) technology brings significant advantages, such as giving a voice to
those with speech impairments, but also enables audio deepfakes and spoofs. The former …

With the advancement of generative modeling techniques, synthetic human speech
becomes increasingly indistinguishable from real, and tricky challenges are elicited for the …

In recent years, advancements in the field of speech processing have led to cutting-edge
deep learning algorithms with immense potential for real-world applications. The automated …

Deepfakes, as AI-generated media, have increasingly threatened media integrity and
personal privacy with realistic yet fake digital content. In this work, we introduce an open …

Partially manipulating a sentence can greatly change its meaning. Recent work shows that
countermeasures (CMs) trained on partially spoofed audio can effectively detect such …

With recent advances in speech synthesis including text-to-speech (TTS) and voice
conversion (VC) systems enabling the generation of ultra-realistic audio deepfakes, there is …

This paper details the experimental results of adapting the OpenAI's Whisper model for
Code-Switch Mandarin-English Speech Recognition (ASR) on the SEAME and ASRU2019 …

In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …

Voice faking, driven primarily by recent advances in text-to-speech (TTS) synthesis
technology, poses significant societal challenges. Currently, the prevailing assumption is …

Recent research has highlighted a key issue in speech deepfake detection: models trained
on one set of deepfakes perform poorly on others. The question arises: is this due to the …