The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges
A Bandi, PVSR Adapa, YEVPK Kuchi - Future Internet, 2023 - mdpi.com
Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …
applications in various domains. There is a need to identify the requirements and evaluation …
Artificial intelligence in the creative industries: a review
N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …
applications in the context of the creative industries. A brief background of AI, and …
Diffwave: A versatile diffusion model for audio synthesis
In this work, we propose DiffWave, a versatile diffusion probabilistic model for conditional
and unconditional waveform generation. The model is non-autoregressive, and converts the …
and unconditional waveform generation. The model is non-autoregressive, and converts the …
Wavegrad: Estimating gradients for waveform generation
This paper introduces WaveGrad, a conditional model for waveform generation which
estimates gradients of the data density. The model is built on prior work on score matching …
estimates gradients of the data density. The model is built on prior work on score matching …
[PDF][PDF] Jukebox: A generative model for music
P Dhariwal, H Jun, C Payne, JW Kim… - arxiv preprint arxiv …, 2020 - assets.pubpub.org
We introduce Jukebox, a model that generates music with singing in the raw audio domain.
We tackle the long context of raw audio using a multiscale VQ-VAE to compress it to discrete …
We tackle the long context of raw audio using a multiscale VQ-VAE to compress it to discrete …
Melgan: Generative adversarial networks for conditional waveform synthesis
Previous works (Donahue et al., 2018a; Engel et al., 2019a) have found that generating
coherent raw audio waveforms with GANs is challenging. In this paper, we show that it is …
coherent raw audio waveforms with GANs is challenging. In this paper, we show that it is …
DDSP: Differentiable digital signal processing
Most generative models of audio directly generate samples in one of two domains: time or
frequency. While sufficient to express any signal, these representations are inefficient, as …
frequency. While sufficient to express any signal, these representations are inefficient, as …
Generative AI-driven semantic communication networks: Architecture, technologies and applications
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …
demonstrating significant potential in creating diverse content intelligently and automatically …
GenAICHI: generative AI and HCI
This workshop applies human centered themes to a new and powerful technology,
generative artificial intelligence (AI). Unlike AI systems that produce decisions or …
generative artificial intelligence (AI). Unlike AI systems that produce decisions or …
High fidelity speech synthesis with adversarial networks
Generative adversarial networks have seen rapid development in recent years and have led
to remarkable improvements in generative modelling of images. However, their application …
to remarkable improvements in generative modelling of images. However, their application …