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Found 5 papers, 1 papers with code
PromptTTS 2: Describing and Generating Voices with Text Prompt
TTS approaches based on the text prompt face two main challenges: 1) the one-to-many problem, where not all details about voice variability can be described in the text prompt, and 2) the limited availability of text prompt datasets, where vendors and large cost of data labeling are required to write text prompts for speech.
Audio Generation with Multiple Conditional Diffusion Model
To address this issue, we propose a novel model that enhances the controllability of existing pre-trained text-to-audio models by incorporating additional conditions including content (timestamp) and style (pitch contour and energy contour) as supplements to the text.
Furnishing Sound Event Detection with Language Model Abilities
Recently, the ability of language models (LMs) has attracted increasing attention in visual cross-modality.
PromptTTS: Controllable Text-to-Speech with Text Descriptions
Thus, we develop a text-to-speech (TTS) system (dubbed as PromptTTS) that takes a prompt with both style and content descriptions as input to synthesize the corresponding speech.
A Hybrid System of Sound Event Detection Transformer and Frame-wise Model for DCASE 2022 Task 4
For the frame-wise model, the ICT-TOSHIBA system of DCASE 2021 Task 4 is used.
