Abstract—With the rapid advancements in industrial and
technology applications, the demand from consumer for
transmission and manipulation of data, primarily - speech,
audio and images, are at its peak. The speech, being a
fundamental way of communication for the humans, has been
embedded in various essential applications like speech
recognition, voice-distance-talk and other forms of personal
communications. There are so many applications of speech still
to be far from reality just because of lack of efficient and
reliable noise removal mechanism and preserving or improving
the intelligibility for the speech signals. The broad categories of
speech enhancement techniques can be listed as speech filtering
techniques, beam forming techniques and active noise
cancellation methods. In this paper, an attempt has been
stepped towards surveying the methodologies for speech
improvement. It is also interesting to investigate, how these
techniques affect the performance of various application
systems like speech recognition and speech communication.
Essentially, we also discuss about the types and sources of noise
that can be considered in speech enhancements.
Index Terms—Enhancement, beamforming and active noise
cancellation, single channel enhancement
Milind U. Nemade is with the Department of Electronics and
Telecommunication, K. J. Somaiya Institute of Engineering and Information
Technology Sion, Mumbai, University of Mumbai, India (e-mail:
mnemade@somaiya.edu)
Satish K. Shah is with the Electrical Engineering Department at Faculty of
Tec hnology, MS University of Baroda.
[PDF]
Cite: Milind U. Nemade and Satish K. Shah, "Speech Enhancement Techniques: Quality vs.
Intelligibility," International Journal of Future Computer and Communication vol. 3, no. 3, pp. 216-221, 2014.
