Featured Research

from universities, journals, and other organizations

Bionic speech recognition

Date:
September 10, 2010
Source:
Inderscience Publishers
Summary:
Researchers in Tunisia have published details of a speech enhancement system that uses two distinct tools to reduce the noise from a recorded or sampled voice signal. In a new article, the researchers explain how a bionic wavelet transform and a recurrent neural network can be used for speech enhancement.

As speech recognition systems become more commonplace -- on the computer desktop top, at the call centre and even in the car -- it is increasingly important to ensure that the voice signal is as clear as possible before it is processed by a computer and acted upon. It could mean the difference between anything from a profitable financial deal to a safe vehicle or aircraft maneuver. Similarly, mobile phone conversations and even the clandestine recording of speech for security and law enforcement purposes could benefit.

Related Articles


Now, researchers at the University Campus in Tunis, Tunisia, have published details of a speech enhancement system that uses two distinct tools to reduce the noise from a recorded or sampled voice signal. Talbi Mourad, Salhi Lotfi, Abid Sabeur and Cherif Adnane of the Faculty of Sciences of Tunis, Laboratory of Signal Processing, explain how a bionic wavelet transform and a recurrent neural network can be used for speech enhancement in the International Journal of Signal and Imaging Systems Engineering.

"The presence of background noise in speech signal processing constitutes a very serious problem," the researchers explain. Noise affects the performance of speech recognition, coding and synthesis leading to failed voice commands and errors. There are three forms of noise that speech recognition systems must cope with: convolutive, multiplicative and additive. It is the latter, additive noise, that can have the most impact on speech recognition and it is this form of noise that the team addresses with their approach. Additive noise is often referred to as "white noise" and is commonly perceived as random background hiss on a sound recording.

"Our proposed technique consists of computing in an automatic manner the optimal threshold set to be employed to the bionic wavelet coefficients and this is performed by using an Elman neural network in the bionic wavelet domain," Mourad explains.

The team demonstrated the effectiveness of their approach against F16 fighter jet cockpit noise and the noise inside a Volvo car. "We have applied our hybrid method on several kinds of noises and noisy speech database and the obtained results show an increase in the signal to noise ratio from 5 dB to 12 dB," the team says. "In speech enhancement it is necessary to achieve a compromise between noise reduction and preserving intelligibility," adds Mourad.


Story Source:

The above story is based on materials provided by Inderscience Publishers. Note: Materials may be edited for content and length.


Journal Reference:

  1. Talbi Mourad, Salhi Lotfi, Abid Sabeur, Cherif Adnane. Recurrent Neural Network and Bionic Wavelet Transform for speech enhancement. International Journal of Signal and Imaging Systems Engineering, 2010; 3 (2): 136 DOI: 10.1504/IJSISE.2010.035002

Cite This Page:

Inderscience Publishers. "Bionic speech recognition." ScienceDaily. ScienceDaily, 10 September 2010. <www.sciencedaily.com/releases/2010/09/100909132413.htm>.
Inderscience Publishers. (2010, September 10). Bionic speech recognition. ScienceDaily. Retrieved December 21, 2014 from www.sciencedaily.com/releases/2010/09/100909132413.htm
Inderscience Publishers. "Bionic speech recognition." ScienceDaily. www.sciencedaily.com/releases/2010/09/100909132413.htm (accessed December 21, 2014).

Share This


More From ScienceDaily



More Computers & Math News

Sunday, December 21, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Building Google Into Cars

Building Google Into Cars

Reuters - Business Video Online (Dec. 19, 2014) Google's next Android version could become the standard that'll power your vehicle's entertainment and navigation features, Reuters has learned. Fred Katayama reports. Video provided by Reuters
Powered by NewsLook.com
After Sony Hack, What's Next?

After Sony Hack, What's Next?

Reuters - US Online Video (Dec. 19, 2014) The hacking attack on Sony Pictures has U.S. government officials weighing their response to the cyber-attack. Linda So reports. Video provided by Reuters
Powered by NewsLook.com
Navy Unveils Robot Fish

Navy Unveils Robot Fish

Reuters - Light News Video Online (Dec. 18, 2014) The U.S. Navy unveils an underwater device that mimics the movement of a fish. Tara Cleary reports. Video provided by Reuters
Powered by NewsLook.com
How 2014 Shaped The Future Of The Internet

How 2014 Shaped The Future Of The Internet

Newsy (Dec. 18, 2014) It has been a long, busy year for Net Neutrality. The stage is set for an expected landmark FCC decision sometime in 2015. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins