Detection of Noiselike Sounds in Telephone Speech
Harris Drucker · The Journal of the Acoustical Society of America · 1968
A method of separating noiselike sounds from vowel/vowellike sounds where the speech is of telephone quality is presented. This procedure involves the use of the χ2 nonparametric test, which analyzes the fluctuations of the time waveform and separates the speech into two classes depending on the randomness of the waveform. Initial computer simulations show the feasibility of the method, but since the recognition networks must operate in real time and the χ2 test is nonlinear, a linear model to the χ2 test is constructed that can be easily implemented, operate in real time, and obtain an efficiency close to that of the χ2 test. The false-alarm and false-recognition rates obtained using the linear model on a test sentence of 45 phonemes and 6-sec duration are in the order of 12% and 85%, respectively.