Today, voice and natural language processing are at the forefront of any human machine interaction environment. The chapter emphasizes the tremendous progress that has taken place in machine learning, statistical data-mining and pattern recognition approaches that can help in making speech interfaces more versatile and pervasive. The growing requirements of speech interfaces also warn against the impediments that may come in the way of successful implementation of acoustically robust natural interfaces. Finally, the chapter underlines the technical advances and research efforts to be undertaken for high performance real-time speech recognition that will completely change the way humans interact with their computing devices.
CITATION STYLE
Johar, S. (2016). Where Speech Recognition Is Going: Conclusion and Future Scope. In SpringerBriefs in Speech Technology (pp. 43–49). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-319-28047-9_6
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