Automatic recognition of affective cues in the speech of car drivers to allow appropriate responses
نویسندگان
چکیده
Speech interaction with in-car systems is becoming more commonplace as systems improve. New cars are often equipped with speech recognition systems to dial phone numbers and or control the in-car environment, and with speech output to provide verbal directions from navigation systems. The paper explores the possibilities of richer speech interaction between driver and car with automatic recognition of the emotional state of the driver with appropriate responses from the car. Driver’s emotions often influence driving performance that could be improved if the car actively responds to the emotional state of the driver. This paper focuses on an in-car emotion recognition system to recognise driver emotional state.
منابع مشابه
A Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation
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...
متن کاملAuditory-based Acoustic Distinctive Features and Spectral Cues for Robust Automatic Speech Recognition in Low-SNR Car Environments
In this paper, a multi-stream paradigm is proposed to improve the performance of automatic speech recognition (ASR) systems in the presence of highly interfering car noise. It was found that combining the classical MFCCs with some auditory-based acoustic distinctive cues and the main formant frequencies of a speech signal using a multi-stream paradigm leads to an improvement in the recognition ...
متن کاملDesigning and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...
متن کاملبازشناسی خودکار حالت عاطفی مبتنی بر تغییرات فیزیولوژیک
Recently, automatic affective state recognition has been noteworthy for improving Human Computer Interaction (HCI), clinical researches and other various applications. Little attention has been paid so far to physiological signals for affective state recognition compared to audio-visual methods. Different affective states stimulate the Autonomic Nervous System (ANS) and lead to changes in physi...
متن کاملبهبود عملکرد سیستم بازشناسی گفتار پیوسته بوسیله ویژگیهای استخراج شده از مانیفولدهای گفتاری در فضای بازسازی شده فاز
The design for new feature extraction methods out of the speech signal and combination of their obtained information is one of the most effective approaches to improve the performance of automatic speech recognition (ASR) system. Recent researches have been shown that the speech signal contains nonlinear and chaotic properties, but the effects of these properties are not used in the continuous ...
متن کامل