Hi, I'm trying to understand this algorithm.
I have a question about lines 76 and 77.
Line 76: logGamma_frame=np.log(a10/a01) + gMeanLogLRT + np.log(b01+b10/( a10+a00*np.exp(-logGamma_frame) ) )
As I understand, line 76 corresponds to the recursive formula [1](11), right?
But why logGamma includes the term np.log(a10/a01)? It looks similar to the final decision.
According to [1], the final decision is a10 / a01 * Gamma
But at line 77: probRatio[i]=1/(1+np.exp(-logGamma_frame))
Why do you use this formula and where is the final decision in [1](9)?
I have seen the same thing in vadsohn.m in matlab voicebox lib.
I'm struggling with it.
Please help me clarify it.
Thank you very much.
Hi, I'm trying to understand this algorithm.
I have a question about lines 76 and 77.
Line 76:
logGamma_frame=np.log(a10/a01) + gMeanLogLRT + np.log(b01+b10/( a10+a00*np.exp(-logGamma_frame) ) )As I understand, line 76 corresponds to the recursive formula [1](11), right?
But why
logGammaincludes the termnp.log(a10/a01)? It looks similar to the final decision.According to [1], the final decision is
a10 / a01 * GammaBut at line 77:
probRatio[i]=1/(1+np.exp(-logGamma_frame))Why do you use this formula and where is the final decision in [1](9)?
I have seen the same thing in vadsohn.m in matlab voicebox lib.
I'm struggling with it.
Please help me clarify it.
Thank you very much.