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A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
On the challenges and opportunities in generative ai
The field of deep generative modeling has grown rapidly and consistently over the years.
With the availability of massive amounts of training data coupled with advances in scalable …
With the availability of massive amounts of training data coupled with advances in scalable …
Audioldm: Text-to-audio generation with latent diffusion models
Text-to-audio (TTA) system has recently gained attention for its ability to synthesize general
audio based on text descriptions. However, previous studies in TTA have limited generation …
audio based on text descriptions. However, previous studies in TTA have limited generation …
Audioldm 2: Learning holistic audio generation with self-supervised pretraining
Although audio generation shares commonalities across different types of audio, such as
speech, music, and sound effects, designing models for each type requires careful …
speech, music, and sound effects, designing models for each type requires careful …
Diffsound: Discrete diffusion model for text-to-sound generation
Generating sound effects that people want is an important topic. However, there are limited
studies in this area for sound generation. In this study, we investigate generating sound …
studies in this area for sound generation. In this study, we investigate generating sound …
Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models
In this paper, we present StyleTTS 2, a text-to-speech (TTS) model that leverages style
diffusion and adversarial training with large speech language models (SLMs) to achieve …
diffusion and adversarial training with large speech language models (SLMs) to achieve …
Bigvgan: A universal neural vocoder with large-scale training
Despite recent progress in generative adversarial network (GAN)-based vocoders, where
the model generates raw waveform conditioned on acoustic features, it is challenging to …
the model generates raw waveform conditioned on acoustic features, it is challenging to …
Deblurring via stochastic refinement
Image deblurring is an ill-posed problem with multiple plausible solutions for a given input
image. However, most existing methods produce a deterministic estimate of the clean image …
image. However, most existing methods produce a deterministic estimate of the clean image …
A survey on neural speech synthesis
Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …
speech given text, is a hot research topic in speech, language, and machine learning …
Lossy image compression with conditional diffusion models
This paper outlines an end-to-end optimized lossy image compression framework using
diffusion generative models. The approach relies on the transform coding paradigm, where …
diffusion generative models. The approach relies on the transform coding paradigm, where …