9 accepted papers
The growing demand for psychological support underscores the lack of high-quality counseling dialogue datasets, particularly in non-English contexts. We propose PGSim, a Path-Guided Simulation framework that mirrors real counseling processes—symptom description, problem identification, cause analysi
Table-to-text generation aims to automatically produce natural language descriptions from structured or semi-structured tabular data. Unlike traditional text generation tasks, it requires models to accurately understand and represent table structures. Existing approaches typically process tables by…
This paper aims to introduce a robust singing voice synthesis (SVS) system to produce very natural and realistic singing voices efficiently by leveraging the adversarial training strategy. On one hand, we designed simple but generic random area conditional discriminators to help supervise the acoust…
We propose a novel method for zero-shot cross-lingual TTS task by using multi-stream text encoder and efficient speaker representation. Specifically, a unified multi-stream text encoder that takes both advantages of Transformer and CBHG is proposed to retain multiple hypotheses about input represent…
In this paper, we propose a novel method for fast and efficient few-shot TTS task, which is able to disentangle linguistic and speaker representations. Specifically, an adversarial training strategy is firstly employed to wipe out speaker information from the linguistic representations. Then the spe…
A frame-unit-selection based voice conversion system proposed earlier by us is revisited here to enhance its performance in both speech naturalness and speaker similarity. Speaker independent, bilingual (Mandarin Chinese and American English) deep neural net (DNN) acoustic model’s output, frame-leve…
Although Transformer based neural end-to-end TTS model has demonstrated extreme effectiveness in capturing long-term dependencies and achieved state-of-the-art performance, it still suffers from two problems. 1) limited ability to model sequential and local structures in sequences; 2) heavily rely o…
This paper presents an architecture to perform speaker adaption in long short-term memory (LSTM) based Mandarin statistical parametric speech synthesis system. Compared with the conventional methods that focused on using fixed global speaker representations in utterance level for speaker recognition…
Pitch is an important characteristic of speech and is useful for many applications. However, it is still challenging to estimate pitch in strong noise. In this paper, we propose a joint training approach to determinate pitch. First, a Bidirectional Long Short-Term Memory Recurrent Neural Networks (B…