Results 21 to 30 of about 545,669 (204)
Using Speech Signal for Emotion Recognition Using Hybrid Features with SVM Classifier
Emotion recognition is a hot topic that has received a lot of attention and study,owing to its significance in a variety of fields, including applications needing human-computer interaction (HCI).
Fatima A.Hammed, Loay George
doaj +1 more source
PurposeTo investigate how auditory working memory relates to speech perception performance by Mandarin-speaking cochlear implant (CI) users.MethodAuditory working memory and speech perception was measured in Mandarin-speaking CI and normal-hearing (NH ...
Duoduo Tao +5 more
doaj +1 more source
Animal voice recognition for identification (ID) detection system [PDF]
Voice recognition systems have become the important applications for speech recognition technology. In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal
Ng, Chee Kyun +2 more
core +1 more source
The New Algorithm for Speech Control in the Cockpit
Speech technologies are being developed intensively in the recent years, especially the automatic speech recognition as an additional input method in human interface and technical devices.
Gabdrakhmanov Aydar
doaj +1 more source
Impact of depression on speech perception in noise.
Effective speech communication is critical to everyday quality of life and social well-being. In addition to the well-studied deficits in cognitive and motor function, depression also impacts communication.
Zilong Xie +4 more
doaj +1 more source
Memristor pattern recogniser: isolated speech word recognition [PDF]
A memristor‐ based pattern‐matching circuit for realising a hardware oriented approach to isolated speech word recognition is introduced. As distinct from algorithmic solutions, the approach takes advantage of the memristor to memorise and match speech templates in a fast, parallel, low‐power
Maan, AK, James, AP, Dimitijev, S
openaire +2 more sources
Speech GAU: A Single Head Attention for Mandarin Speech Recognition for Air Traffic Control
The rise of end-to-end (E2E) speech recognition technology in recent years has overturned the design pattern of cascading multiple subtasks in classical speech recognition and achieved direct mapping of speech input signals to text labels. In this study,
Shiyu Zhang +4 more
doaj +1 more source
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
Automatic visual speech recognition is an interesting problem in pattern recognition especially when audio data is noisy or not readily available.
Ekenel, Hazım Kemal +3 more
core +1 more source
Learning to automatically detect features for mobile robots using second-order Hidden Markov Models [PDF]
In this paper, we propose a new method based on Hidden Markov Models to interpret temporal sequences of sensor data from mobile robots to automatically detect features.
Aycard, Olivier +2 more
core +8 more sources
Pattern Recognition Methods for Emotion Recognition with speech signal
In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features tor emotion recognition are determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features.
Chang-Hyun Park, Kwee-Bo Sim
openaire +2 more sources

