Nevertheless, other occupants or voices from the entertainment devices can initiate any other action, with the proper command.
Best voice recognition software 2015 driver#
The speech interaction is initiated by the driver by means of pushing a button. This assures that the incoming signal of the speech is as high as possible. The microphone should be pointed at the driver position. A well-developed speech recognition system should cope with the noise coming from the car, the road, and the entertainment system, and include the following characteristics ( Baeyens and Murakami, 2011).
The car is a challenging environment to deploy speech recognition. Speech recognition can be considered a specific use case of the acoustic channel. The speech pattern matching module identifies the segment speech according to the model library, and finally obtains the recognition result. The module processes and the obtained speech features are sent to the model library module. The collected speech signals are sent to feature extraction. For different speech recognition systems, the specific recognition methods and techniques used by people are different, but the basic principles are the same. The speech recognition system is essentially a multidimensional pattern recognition system. According to the structure of the speech recognition system, a complete speech recognition system includes a feature extraction algorithm, acoustic model, and language model and search algorithm. The goal of speech recognition is to transform the input speech feature vector sequence into a sequence of words using phonetic and linguistic information. According to the size of vocabulary, they can be divided into small vocabulary, medium vocabulary, large vocabulary, and infinite vocabulary speech recognition systems.įrom the perspective of the speech recognition model, the theory of the speech recognition system is based on pattern recognition. According to the degree of dependence on the speaker, these areas can be divided into speech recognition systems for the specific person and nonspecific person. According to the requirements of the speaker's way of speaking, these areas can be divided into isolated words, connected words, and continuous speech recognition systems. Different research areas have emerged based on research tasks under different constraints. It is a multidisciplinary comprehensive research field. The research of speech recognition involves many subject areas such as computer technology, artificial intelligence, digital signal processing, pattern recognition, acoustics, linguistics, and cognitive science.
It is an important research direction of speech signal processing and a branch of pattern recognition. Speech recognition is the process of converting human sound signals into words or instructions. Hui Liu, in Robot Systems for Rail Transit Applications, 2020 1.2.2.2.3 Human–robot interaction based on speech recognition