[HTML][HTML] On the deficiency of intelligibility metrics as proxies for subjective intelligibility
A recent trend in deep neural network (DNN)-based speech enhancement consists of using
intelligibility and quality metrics as loss functions for model training with the aim of achieving …
intelligibility and quality metrics as loss functions for model training with the aim of achieving …
Exploiting hidden representations from a DNN-based speech recogniser for speech intelligibility prediction in hearing-impaired listeners
An accurate objective speech intelligibility prediction algorithms is of great interest for many
applications such as speech enhancement for hearing aids. Most algorithms measures the …
applications such as speech enhancement for hearing aids. Most algorithms measures the …
Subjective evaluation of a noise-reduced training target for deep neural network-based speech enhancement
FB Gelderblom, TV Tronstad… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Speech enhancement systems aim to improve the quality and intelligibility of noisy speech.
In this study, we compare two speech enhancement systems based on deep neural …
In this study, we compare two speech enhancement systems based on deep neural …
The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility
Computational speech segregation attempts to automatically separate speech from noise.
This is challenging in conditions with interfering talkers and low signal-to-noise ratios …
This is challenging in conditions with interfering talkers and low signal-to-noise ratios …
On the predictive power of objective intelligibility metrics for the subjective performance of deep complex convolutional recurrent speech enhancement networks
FB Gelderblom, TV Tronstad… - … on Audio, Speech …, 2023 - ieeexplore.ieee.org
Speech enhancement (SE) systems aim to improve the quality and intelligibility of degraded
speech signals obtained from far-field microphones. Subjective evaluation of the …
speech signals obtained from far-field microphones. Subjective evaluation of the …
Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility
Subjective tests are the gold standard for evaluating speech quality and intelligibility;
however, they are time-consuming and expensive. Thus, objective measures that align with …
however, they are time-consuming and expensive. Thus, objective measures that align with …
[PDF][PDF] Multi-resolution Gammachirp Envelope Distortion Index for Intelligibility Prediction of Noisy Speech.
A multi-resolution version of the gammachirp envelope distortion index (mr-GEDI) is
proposed for the intelligibility prediction of noisy speech processed using speech …
proposed for the intelligibility prediction of noisy speech processed using speech …
Evaluating Speech Enhancement Systems Through Listening Effort
Understanding degraded speech is demanding, requiring increased listening effort (LE).
Evaluating processed and unprocessed speech with respect to LE can objectively indicate if …
Evaluating processed and unprocessed speech with respect to LE can objectively indicate if …
A Controlled Noise Reduction Wiener Filter Based on the Quadratic Eigenvalue Problem
This paper deals with the problem of multichannel noise reduction and a controlled Wiener
filter is developed in the frequency domain by minimizing the subband mean-squared error …
filter is developed in the frequency domain by minimizing the subband mean-squared error …
Towards the development of a non-intrusive objective quality measure for dnn-enhanced speech
Recently, several works have focused on leveraging the advances of deep neural networks
(DNN) to a variety of domains, including speech enhancement. While advances in …
(DNN) to a variety of domains, including speech enhancement. While advances in …