research
∙
03/20/2022
Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise
We present a neural text-to-speech (TTS) method that models natural voca...
share
research
∙
08/17/2021
Combining speakers of multiple languages to improve quality of neural voices
In this work, we explore multiple architectures and training procedures ...
research
∙
11/12/2020
Evaluating the Intelligibility Benefits of Neural Speech Enrichment for Listeners with Normal Hearing and Hearing Impairment using the Greek Harvard Corpus
In this work we evaluate a neural based speech intelligibility booster b...
research
∙
08/13/2020
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion
The increased adoption of digital assistants makes text-to-speech (TTS) ...
research
∙
08/09/2020
Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions
Recent advancements in deep learning led to human-level performance in s...
research
∙
08/03/2020
Audiovisual Speech Synthesis using Tacotron2
Audiovisual speech synthesis is the problem of synthesizing a talking fa...
research
∙
06/11/2020
Cumulant GAN
Despite the continuous improvements of Generative Adversarial Networks (...
research
∙
06/09/2020
A fully recurrent feature extraction for single channel speech enhancement
Convolutional neural network (CNN) modules are widely being used to buil...
research
∙
06/08/2020
A non-causal FFTNet architecture for speech enhancement
In this paper, we suggest a new parallel, non-causal and shallow wavefor...
research
∙
05/31/2020
Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra
Maximum Voiced Frequency (MVF) is used in various speech models as the s...
research
∙
03/07/2019
Voice Activity Detection: Merging Source and Filter-based Information
Voice Activity Detection (VAD) refers to the problem of distinguishing s...
research
∙
11/06/2018
Training Generative Adversarial Networks with Weights
The impressive success of Generative Adversarial Networks (GANs) is ofte...
research
∙
07/16/2018
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
Assessing the presence and abundance of birds is important for monitorin...
research
∙
10/09/2017
