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The proposed vTTS method extracts visual features with a convolutional neural network and then generates acoustic features with a non-autoregressive model in an end-to-end manner.

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Mar 28, 2022 · This paper proposes visual-text to speech (vTTS), a method for synthesizing speech from visual text (i.e., text as an image). Conventional TTS converts phonemes or …

vTTS can synthesize more natural and intelligible speech utiliz-ing character compositionality than the basic TTS. We compared our vTTS with the basic TTS in three pho-netic languages: …

Oct 18, 2024 · To address these issues, we propose a novel multi-source spatial knowledge understanding scheme for immersive VTTS, termed MS2KU-VTTS. Specifically, we first …

MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 video clips from 20 categories, and each video clip is …

Apr 7, 2022 · In “ More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech ”, we present a proof-of-concept visually-driven text-to-speech model, called VDTTS, that automates …

The Online Master of Natural Resources is a 10 course / 30 credit hour graduate degree program that prepares students to excel in environmental conservation, sustainability, and natural …

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