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Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
Promises and challenges of generative artificial intelligence for human learning
Generative artificial intelligence (GenAI) holds the potential to transform the delivery,
cultivation and evaluation of human learning. Here the authors examine the integration of …
cultivation and evaluation of human learning. Here the authors examine the integration of …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models
Recently, instruction-following audio-language models have received broad attention for
audio interaction with humans. However, the absence of pre-trained audio models capable …
audio interaction with humans. However, the absence of pre-trained audio models capable …
Naturalspeech 2: Latent diffusion models are natural and zero-shot speech and singing synthesizers
Scaling text-to-speech (TTS) to large-scale, multi-speaker, and in-the-wild datasets is
important to capture the diversity in human speech such as speaker identities, prosodies …
important to capture the diversity in human speech such as speaker identities, prosodies …
Naturalspeech 3: Zero-shot speech synthesis with factorized codec and diffusion models
While recent large-scale text-to-speech (TTS) models have achieved significant progress,
they still fall short in speech quality, similarity, and prosody. Considering speech intricately …
they still fall short in speech quality, similarity, and prosody. Considering speech intricately …
Understanding diffusion objectives as the elbo with simple data augmentation
To achieve the highest perceptual quality, state-of-the-art diffusion models are optimized
with objectives that typically look very different from the maximum likelihood and the …
with objectives that typically look very different from the maximum likelihood and the …
Seamless: Multilingual Expressive and Streaming Speech Translation
Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …
mediated communication feel seamless when compared to human-to-human dialogue. In …
Xtts: a massively multilingual zero-shot text-to-speech model
Most Zero-shot Multi-speaker TTS (ZS-TTS) systems support only a single language.
Although models like YourTTS, VALL-E X, Mega-TTS 2, and Voicebox explored Multilingual …
Although models like YourTTS, VALL-E X, Mega-TTS 2, and Voicebox explored Multilingual …
Vall-e 2: Neural codec language models are human parity zero-shot text to speech synthesizers
This paper introduces VALL-E 2, the latest advancement in neural codec language models
that marks a milestone in zero-shot text-to-speech synthesis (TTS), achieving human parity …
that marks a milestone in zero-shot text-to-speech synthesis (TTS), achieving human parity …