This working paper depicts the usage of Natural Language Processing techniques in the production of voice from an input text, a.k.a. Text-To-Speech synthesis, and the inverse process, which is the production of a written text transcription from an input voice utterance, a.k.a. Automatic Speech Recognition.

Objective speech intelligibility estimations undertaken in natural acoustics communications (NAS) scenarios require the utilization of a source that approximates acoustic characteristics human talker. Only limited number special sources conform to specifications relevant guidelines are available market; however, they can be deemed expensive by professional practitioners and other users. Non-spe...

Objectives: The spontaneous language sample analysis is an important part of the language assessment protocol. Language samples give us useful information about how children use language in the natural situations of daily life. The purpose of this study was to compare Conversation, Freeplay, and narrative speech in aspects of Mean Length of Utterance (MLU), Type-token ratio (TTR), and the numbe...

Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

Speakers vary their speech rate considerably during a conversation, and listeners are able to quickly adapt to these variations in speech rate. Adaptation to fast speech rates is usually measured using artificially time-compressed speech. This study examined adaptation to two types of fast speech: artificially time-compressed speech and natural fast speech. Listeners performed a speeded sentenc...