Magdalena Kaniewska

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In studies on artificial bandwidth extension (ABE), there is a lack of international coordination in subjective tests between multiple methods and languages. Here we present the design of absolute category rating listening tests evaluating 12 ABE variants of six approaches in multiple languages, namely in American English, Chinese, German, and Korean. Since(More)
In the paper a pipeline algorithm for estimating the pitch of speech signal is proposed. The algorithm uses instantaneous complex frequencies estimated for four waveforms obtained by filtering the original speech signal through four bandpass complex Hilbert filters. The imaginary parts of ICFs from each channel give four candidates for pitch estimates. The(More)
The paper presents the possibilities of altering human voice by modifying instantaneous complex frequency (ICF) of the speech signal. The proposed algorithm is based on the factorization of a band-limited, analytic signal into two factors: one fully characterized by its envelope and the other with positive instantaneous frequency (PIF). ICFs of both factors(More)
This paper presents the bandwidth extension (BWE) method developed for the AMR-WB interoperable (AMR-WB IO) modes of the 3GPP EVS codec. The low-band signal (0-6.4 kHz) is coded using an enhanced version of ACELP as in AMR-WB and post-processed; the high-band (above 6.4 kHz) in contrast to AMR-WB is represented with a new BWE method. The decoded low-band(More)
Various studies have shown that the instrumental measures wideband PESQ and POLQA are not reliably predicting speech quality for artificial speech bandwidth extension ABE test conditions, as this has never been their scope. Based on data from a coordinated subjective listening test with 12 ABE variants developed by 6 different institutions, conducted in 4(More)
In the paper a method for pitch and formant tracking using instantaneous complex frequency (ICF) is presented. It includes estimating the frequencies, as well as the bandwidths of the speech formants. The formants are separated from the speech signal using complex passband Hilbert filters. The filters are simultaneously used to compute the Hilbertian signal(More)
The paper presents new results of pitch estimation for speech signals obtained using a pipeline algorithm. The algorithm uses instantaneous complex frequency to perform voiced/unvoiced classification and estimate the fundamental frequency for each sample of the speech signal. Its performance is evaluated using two databases containing utterances spoken by(More)
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