Speech recognition refers to the capability of software or hardware to receive a speech
signal, identify the speaker's features in the speech signal, and recognize the speaker …

Speech signal preprocessing is the first and the most important step in the automatic speech
recognition process. The preprocessing of speech consists of cleaning the speech signal …

Recently, spectrogram energy patterns that capture emotional information have
demonstrated strong performance in the vocal-based image emotion detection challenge …

Esophageal speech is one of the pathological voices, which is known to be weak in
intelligibility and hard to understand. Our approach's main idea is to reduce the esophageal …

Accurately extracting driving events is the way to maximize computational efficiency and
anomaly detection performance in the tire frictional nose-based anomaly detection task. This …

The visual cues obtained from the face and mouth region of a speaker provide valuable
information for speech per-ception. The idea of audio visual speech recognition is to …

现有且成熟的语音识别系统基本局限于健康群体及主流语言, 并不适用于声带受损的患者. 因此,
本文研究设计了一款基于喉部振动的语音自动识别系统, 旨在为声带受损患者及言语障碍残疾 …

To address the issues of poor effectiveness in traditional methods of mobile path planning,
low-success rate in autonomous navigation control and long response time, an intelligent …

The introduction of the Internet of Things (IoT) technology into how daily routines has
sparked a technological revolution across all sectors of society. The inclusion of these IoT …

Speech has always been the most important role in our day to day communication. People
used to represent our thoughts through the some known language, which may be done …