Zobrazeno 1 - 10
of 6 623
pro vyhledávání: '"Schuller, P"'
Autor:
Sun, Qiyang, Li, Yupei, Alturki, Emran, Murthy, Sunil Munthumoduku Krishna, Schuller, Björn W.
As Artificial Intelligence (AI) continues to advance rapidly, Friendly AI (FAI) has been proposed to advocate for more equitable and fair development of AI. Despite its importance, there is a lack of comprehensive reviews examining FAI from an ethica
Externí odkaz:
http://arxiv.org/abs/2412.15114
The availability of high-quality APIs for Large Language Models (LLMs) has facilitated the widespread creation of Machine-Generated Content (MGC), posing challenges such as academic plagiarism and the spread of misinformation. Existing MGC detectors
Externí odkaz:
http://arxiv.org/abs/2412.12679
Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within the music industry. However, the unregulated proliferation of MGM presen
Externí odkaz:
http://arxiv.org/abs/2412.13421
This work introduces the key operating principles for autrainer, our new deep learning training framework for computer audition tasks. autrainer is a PyTorch-based toolkit that allows for rapid, reproducible, and easily extensible training on a varie
Externí odkaz:
http://arxiv.org/abs/2412.11943
Prosody contains rich information beyond the literal meaning of words, which is crucial for the intelligibility of speech. Current models still fall short in phrasing and intonation; they not only miss or misplace breaks when synthesizing long senten
Externí odkaz:
http://arxiv.org/abs/2412.11795
Machine-generated music (MGM) has emerged as a powerful tool with applications in music therapy, personalised editing, and creative inspiration for the music community. However, its unregulated use threatens the entertainment, education, and arts sec
Externí odkaz:
http://arxiv.org/abs/2412.06001
As Artificial Intelligence (AI) technologies continue to evolve, their use in generating realistic, contextually appropriate content has expanded into various domains. Music, an art form and medium for entertainment, deeply rooted into human culture,
Externí odkaz:
http://arxiv.org/abs/2412.00571
This study explores the field of audio classification from raw waveform using Convolutional Neural Networks (CNNs), a method that eliminates the need for extracting specialised features in the pre-processing step. Unlike recent trends in literature,
Externí odkaz:
http://arxiv.org/abs/2412.00312
Increasingly frequent publications in the literature report voice quality differences between depressed patients and controls. Here, we examine the possibility of using voice analysis as an early warning signal for the development of emotion disturba
Externí odkaz:
http://arxiv.org/abs/2411.11541
The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In the medical realm, AI takes a pivotal role, leveraging robust machine
Externí odkaz:
http://arxiv.org/abs/2412.01829