### Kanru Hua (@khuasw)

Undergraduate researcher (class of 19') at University of Illinois at Urbana-Champaign. Supervised by Prof. Jont B Allen. Research interest: speech synthesis, speech analysis/synthesis, fundamental frequency estimation. IEEE associate member since 2014.

## Re: Real Time DSP - Conversion Time for Audio

Question - how did you measure the latency of a pitch-shifted signal?More exactly asking, if pitch-shifting is defined as preserving either the amplitude of the...

## Re: IIR filters

Malcom Slaney used a system cascading 4 2nd-order IIRs in his implementation of the Gammatone filterbank for psychoacoustic simulations. Each impulse response is...

## Re: IIR filters

I‘d like to point out that there certainly exist asymmetric FIR filters with non-linear phase responses. For example, you can convert the frequency response of...

## Re: Frequency Interpolation Algorithms

Looks like you're doing some sinusoidal analysis. Julius Smith's good old Quadratic Interpolated FFT (QIFFT) is a good place to start from. https://ccrma.stanford.edu/~abemoto/abe-aes04.pdfThis...

## Re: LPC to LSP Confusion...

The conversion from LPC coefficients to LSP involves polynomial root finding. It is well-known that closed form for the roots doesn't exist for order > 4 polynomials....

## Re: Does a time-based audio compression algorithm exist?

It won't work at all on noisy signal for there's not much periodicity to begin with.AFAIK, there's not so much entirely time-domain compression algorithms for noisy...

## Re: Calculating Noise Level of a Pool

You forgot to window the signal before taking FFT. If the input is white noise, windowing doesn't matter (but there wouldn't be any merit of computing the spectrum...

## Re: Enhancing multivariate signals

Why would you treat all signals independently? There exists methods such as Kalman filter that leverage the multivariate nature of the signal.

## Re: Does a time-based audio compression algorithm exist?

If you're talking about domain-specific applications and excluding methods that have a popular frequency domain interpretation (such as LPC/LSF), a dirty trick I...

## Re: Importance of Vector Quantization in Audio Signals Processing

I think your guesses are correct. The mathematical construction of GMMs allows people to apply fancy training criterion, especially those that make statistical sense,...

## Re: Importance of Vector Quantization in Audio Signals Processing

In the early days of speech recognition vector quantization (VQ) was a commonly used technique for reducing the feature space to a more tractable size.They first...

## Some DSP libraries I've written and shared online

Hi everyone I've been following this site for a while. This is my first post.My research area is speech synthesis. To be more specific, speech analysis-synthesis,...

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