activity
20172021
collaborators

5 papers

eess.AS2021

Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation

Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen

In a hybrid speech model, both voiced and unvoiced components can coexist in a segment. Often, the voiced speech is regarded as the deterministic component, and the unvoiced speech…

eess.AS2019

Signal-Adaptive and Perceptually Optimized Sound Zones with Variable Span Trade-Off Filters

Taewoong Lee, Jesper Kjær Nielsen, Mads Græsbøll Christensen

Creating sound zones has been an active research field since the idea was first proposed. So far, most sound zone control methods rely on either an optimization of physical metrics…

cs.SD2019

Bayesian Pitch Tracking Based on the Harmonic Model

Liming Shi, Jesper Kjaer Nielsen, Jesper Rindom Jensen +2

Fundamental frequency is one of the most important characteristics of speech and audio signals. Harmonic model-based fundamental frequency estimators offer a higher estimation accu…

eess.AS2018

Model-based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids

Mathew Shaji Kavalekalam, Jesper K. Nielsen, Jesper B. Boldt +1

Speech intelligibility is often severely degraded among hearing impaired individuals in situations such as the cocktail party scenario. The performance of the current hearing aid t…

cs.SD2017

A Variational EM Method for Pole-Zero Modeling of Speech with Mixed Block Sparse and Gaussian Excitation

Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen +1

The modeling of speech can be used for speech synthesis and speech recognition. We present a speech analysis method based on pole-zero modeling of speech with mixed block sparse an…