Items in this Collection
- 2spoken word recognition
- 1Speech perception
Poster for the paper "A comparison of input types to a deep neural network-based forced aligner," presented at Interspeech 2018. PAPER ABSTRACT: The present paper investigates the effect of different inputs on the accuracy of a forced alignment tool built using deep neural networks. Both raw...
How acoustic distinctiveness affects spoken word recognition: A pilot study
In the present study, I propose an acoustically-based alternative to phonological neighborhood density. Phonological neighborhood density has been used in many studies as an approximate quantification of lexical competition during spoken word recognition. However, phonological neighborhood...
A number of speech perception studies have been carried out to investigate how we process audio signals containing real words. However, comparatively fewer studies have been conducted looking at how listeners process audio signals containing phonotactically legal pseudowords. Some traditional...
A sizable number of phonetic and psycholinguistic experiments have been conducted to investigate the recognition of real words. From this work, researchers have found that various characteristics of lexical items affect the recognition process, such as lexical frequency, phonotactic probability,...