7
votes
What is the explanation that filter EQ changes "Ah" to "O"?
Expanding a bit on Tim Wescott's answer:
Vowels are made by a combination of an excitation and a resonant filter. The excitation comes from the glottis in your throat. The speed of that vibration ...
- 48.2k
4
votes
Accepted
What is the explanation that filter EQ changes "Ah" to "O"?
What is the explanation of this phenomenon?
Your vocal cords have a very raspy sort of vibration -- they generate spectral components at the fundamental, and at many many harmonics going up from ...
- 13.3k
3
votes
Conceptually confused by LPC for speech: Do we synthesize by the inverse filter (FIR)?
Given speech samples, the LPC computation yields linear prediction coefficients $a_1,\ldots,a_p$. These describe a dependence model for a few samples. It is assumed that for short-enough collections ...
- 616
3
votes
Mel Cepstral Distortion
Ok so here is what I found. The distance is dependent on the way that the mfccs are calculated. This makes sense to me and also explains why cepstral mean normalization affects the values of the MCD.
...
- 181
3
votes
Accepted
Computation of parameter filter to match a given frequency response
TL/DR:
For a 2nd order transfer function of a real digital filter given as:
$$H(z) = \frac{1}{1-2A_1z^{-1}-A_2z^{-2}}$$
The filter coefficient $A_1$ and $A_2$ are determined from the gain and resonant ...
- 55k
2
votes
Accepted
How to generate human voice fft?
generate human voice using fft
Can't do. The FFT is too primitive for anything but simplest audio generation: different voices, instruments, etc. will all have similar or identical-looking FFT. It's ...
- 9,242
1
vote
Mel Cepstral Distortion
I'm not sure that the formula posted in the question is accurate.
According to the paper which introduced the measure (eq. 1) and to this paper (eqs. 1a and 1b),
the sum over the cepstral coefficients ...
- 121
1
vote
Implementing Statistical Pitchmark Correction Method formula in programming code
Understanding the paper
The paper you cite provides a method for detecting pitchmark errors, not correcting them. The detection method is very simple. What it's attempting to do is normalize the time ...
- 2,064
1
vote
Hw does a digital piano work?
Piano sound generation is complicated by the sound being so familiar to most of us, and the slowly decaying non-stationary non-harmonic nature of overtones meaning that simple attack + looped samples ...
- 3,595
1
vote
Accepted
Is there a known correlation between human voice (360Hz to 5kHz) and the frequencies above/below that?
There is a correlation and it can be learned with machine learning methods. A simple google search can give you many papers, recent research
Waveform Modeling and Generation Using Hierarchical ...
- 1,119
1
vote
TTS - Diphone database
Have you had a look at the diphone synthesizer resources in the Festival Speech Synthesis framework?
The state of the art for Text2Speech (though still not practical for production due to GPU compute ...
- 1,770
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