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Pierre Lanchantin

3 accepted papers

2020

Speaker Adaptation of a Multilingual Acoustic Model for Cross-Language Synthesis

ICASSP 2020accepted

Several studies have shown promising results in adapting DNN-based acoustic models as a mechanism to transfer characteristics from pre-trained models. One such example is speaker adaptation using a small amount of data, where fine-tuning has helped train models that extrapolate well to diverse lingu…

Cited by 0SourceScholar
2019

Enhanced Virtual Singers Generation by Incorporating Singing Dynamics to Personalized Text-to-speech-to-singing

ICASSP 2019accepted

We present in this work a strategy to enhance the quality of Text-to-Speech (TTS) based Singing Voice generation. Speech-to-singing refers to techniques transforming a spoken voice into singing, mainly by manipulating the duration and pitch of a spoken version of a song's lyrics. While this strategy…

Cited by 0SourceScholar
2016

Improved DNN-based segmentation for multi-genre broadcast audio

ICASSP 2016accepted

Automatic segmentation is a crucial initial processing step for processing multi-genre broadcast (MGB) audio. It is very challenging since the data exhibits a wide range of both speech types and background conditions with many types of non-speech audio. This paper describes a segmentation system for…

Cited by 0SourceScholar