The article presents research on a neural vocoder based on a denoising diffusion probabilistic model (DDPM), which incorporates explicit periodic signals as auxiliary conditioning signals. The proposed model can generate…
Continue readingThis academic paper delves into the advancements made by Large Language Models (LLMs) in natural language processing and their extension to other modalities such as speech and vision. It carries…
Continue readingThe paper presents a new text-to-speech (TTS) framework that utilizes a neural transducer. It divides the TTS pipeline into semantic-level sequence-to-sequence modeling and fine-grained acoustic modeling stages. The framework uses…
Continue readingThe article introduces Incremental FastPitch, a novel variant of FastPitch that can produce high-quality Mel chunks incrementally. These advancements allow for a faster synthesis process and more control compared to…
Continue readingThe article discusses the development of FreeStyleTTS, a model for expressive text-to-speech (TTS) synthesis that requires minimal human annotations. This model utilizes a large language model to transform expressive TTS…
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