Are there any good techniques to either remove or detect the amount of non-harmonic data (white noise?) in speech? I really want to remove or detect the 's', 'z' etc. sounds in the sample. Is this possible? Thanks Rael
Non-harmonic data in speech
Started by ●February 18, 2011
Reply by ●February 18, 20112011-02-18
On Feb 18, 7:53=A0pm, Raeldor <rael...@gmail.com> wrote:> Are there any good techniques to either remove or detect the amount of > non-harmonic data (white noise?) in speech? =A0I really want to remove > or detect the 's', 'z' etc. sounds in the sample. =A0Is this possible? > > Thanks > Rael"complement theorem". Take the universe,subtract what you don't want, and what is left is what you do want. Find a way to detect/remove harmonic data, and you will be left with non-harmonic data (harmonic data may be easier to detect than non-harmonic data). Another approach. Adaptive line enhancer (ALE) predicts/detects harmonic information. Instead of using the "tradictional" output from the ALE (the predicted data), use the "error" output. Maybe these suggestions will spark something.
Reply by ●February 19, 20112011-02-19
On 19/02/2011 01:53, Raeldor wrote:> Are there any good techniques to either remove or detect the amount of > non-harmonic data (white noise?) in speech? I really want to remove > or detect the 's', 'z' etc. sounds in the sample. Is this possible? > > Thanks > RaelThere is a standard name for this in audio production - a "de-esser". Googling this will provide plenty of information. The standard approach (inasmuch as there is one) is band-specific dynamic audio compression, based on the "sss" part of the sound being (a) relatively-speaking much higher than the voiced parts of speech (higher than "fff" and "th" for example) , and (b) higher energy. A wide range of commercial and free plugins (VST etc) is available. I am not so sure about removing "zz" sounds, as that combines the noise with a (pitched) voiced component; remove the noise part and the whole phoneme has changed. It will change "lose" to "loo", and "physical" to "fi-ickle". Richard Dobson