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Article
Publication date: 17 March 2016

Yuma Sandoval, Victor H. Diaz-Ramirez and Vitaly Kober

The purpose of the present work is to design robust estimators for speech enhancement by incorporation of calculation rank-order statistics and locally-adaptive neighborhoods. The…

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Abstract

Purpose

The purpose of the present work is to design robust estimators for speech enhancement by incorporation of calculation rank-order statistics and locally-adaptive neighborhoods. The proposed estimators are able to increase the speech quality of a noisy signal, to preserve better speech intelligibility, and to introduce less artifacts comparing with known speech enhancement estimators.

Design/methodology/approach

We design a novel speech enhancement algorithm based on rank-order statistics and local adaptive signal processing to improve the accuracy of existing speech enhancement estimators, in terms of speech quality, intelligibility, and introduction of artificial artifacts.

Findings

We found that by using the proposed estimators for speech enhancement we obtain a better adaptation to nonstationary characteristics of speech and noise processes comparing with that of known speech enhancement estimators. The proposed algorithm increases speech quality, preserves better speech intelligibility, and introduces less artifacts comparing with known speech enhancement estimators.

Research limitations/implications

The proposed approach for speech enhancement is a locally-adaptive signal processing performed for each element of a noisy speech signal. Thus, the main limitation of the proposed approach is an increase of computational complexity compared with that of nonadaptive conventional techniques.

Practical implications

In order to perform real-time speech enhancement with the proposed approach, it is recommended to use a digital system with a fast processor. Another option is by using a parallel architecture such as a FPGA.

Originality/value

We propose a novel local-adaptive algorithm for robust speech enhancement by incorporation of calculation of rank-order statistics and local-adaptive neighborhoods. The proposed algorithm is able to adjust itself in response to changes in the statistical properties of ambience noise.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 35 no. 3
Type: Research Article
ISSN: 0332-1649

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Book part
Publication date: 3 March 2025

Marika Intenza

Nowadays, an analysis of the circumstances that have led to the development of specific industries within regional entrepreneurial ecosystems (EEs) is extremely relevant. The…

Abstract

Nowadays, an analysis of the circumstances that have led to the development of specific industries within regional entrepreneurial ecosystems (EEs) is extremely relevant. The chapter carries out a twofold analysis, in order to fully explore the reasons that have led to the creation of a specific industrial district. On the one hand, the tissue paper industry in the Italian province of Lucca is analysed through a qualitative approach; on the other hand, the contextual traits of the Toscana EE influencing firm performance are investigated through using a quantitative research approach. This mixed research analysis provides some important hints. First, it helps to understand how systemic, framework and human conditions affect firm performance. Second, it examines how historical, social, and economic factors have shaped regional industries. Through an in-depth analysis, the chapter provides theoretical and empirical insights into the dynamics that affect industrial transformation in response to globalisation, technological innovation, and changing market demands. After completing the chapter, readers will understand how knowledge, collaboration, and shared resources drive regional competitiveness. Through the qualitative analysis, readers will be aware of the tissue paper industry evolution. The combination with the quantitative study allows us to capture the different drivers swaying firm performance, such as infrastructure, innovation capacity, and institutional support. Therefore, the use of empirical data enables for a more objective assessment of the earlier contextual elements, revealing trends and patterns that may not be immediately evident through qualitative analysis.

Details

Entrepreneurial Ecosystems in Theory and Practice
Type: Book
ISBN: 978-1-83662-613-8

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Book part
Publication date: 1 December 2015

Dave L. Edyburn and Keith D. Edyburn

In grades K-3, the primary focus of instruction is learning to read. In grades 4 and beyond, however, the focus shifts to reading to learn. Whereas teachers may use a variety of…

Abstract

In grades K-3, the primary focus of instruction is learning to read. In grades 4 and beyond, however, the focus shifts to reading to learn. Whereas teachers may use a variety of instructional approaches, research has clearly documented that learning from text is the primary instructional model found in most classrooms. This means that efforts to close the achievement gap must focus on ensuring that all students can access text-based learning materials, engage with the content in meaningful ways, and ultimately demonstrate success in the form of measurable gains in learning outcomes. Whereas the philosophy of UDL is relatively easy to understand, it has proven problematic to design, implement, evaluate, and scale. The purpose of this chapter is to describe a universal design engineering approach known as Design for More Types that can be applied to the design of text-based learning materials, this chapter will describe the conceptual and practical issues involved in the development of text-based learning materials for diverse learners. We begin by providing some foundational concepts for this multidisciplinary work. Next, we provide a series of case studies to illustrate how universal usability can be applied to various instructional designs. Finally, we describe how the Design for More Types framework can be used in both research and practice.

Details

Accessible Instructional Design
Type: Book
ISBN: 978-1-78560-288-7

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