The paper presents MUNTTS, a text-to-speech (TTS) system developed specifically for Mundari, a low-resource Indian language. The authors have collected and processed substantial data to build this speech synthesis system….
Continue readingThis research evaluates the quality of text-to-speech (TTS) voices in delivering mindfulness-based therapies. It explores the potential of technology in enhancing these therapies, focusing on the user-perceived quality of TTS…
Continue readingThe article discusses a novel approach to enhance zero-shot multi-speaker text-to-speech (TTS) systems. These systems aim to replicate a chosen speaker’s voice without additional fine-tuning. However, they often struggle to…
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…
Continue readingThe article presents FreeStyleTTS, a model for expressive text-to-speech (TTS) synthesis with minimal human annotations. This approach leverages a large language model to transform expressive TTS into a style retrieval…
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