Behavioral and ecological studies would benefit from the ability to automatically identify
species from acoustic recordings. The work presented in this article explores the ability of …

The acoustic environment provides a rich source of information on the types of activity,
communication modes, and people involved in many situations. It can be accurately …

This study explores the effects of informational redundancy, as carried by a word's
morphological paradigmatic structure, on acoustic duration in read aloud speech. The …

Opposing the pre-dominant turn-wise statistics of acoustic Low-Level-Descriptors followed
by static classification we re-investigate dynamic modeling directly on the frame-level in …

This article presents two studies investigating how the situation in which speech is uttered
affects the frequency with which words are reduced. Study 1 is based on the Spoken Dutch …

This paper implements the continuous Hindi Automatic Speech Recognition (ASR) system
using the proposed integrated features vector with Recurrent Neural Network (RNN) based …

Current approaches to the recognition of emotion within speech usually use statistic feature
information obtained by application of functionals on turn-or chunk levels. Yet, it is well …

Purpose The strength of the relationship between vowel centralization measures and
perceptual ratings of dysarthria severity has varied considerably across reports. This article …

This chapter provides an overview over recent developments in naturalistic emotion
recognition based on acoustic and linguistic cues. It discusses a variety of use‐cases where …

This paper investigates the nature of reduction phenomena in informal speech. It addresses
the question whether reduction processes that affect many word types, but only if they occur …