Abstract
The whisper conversion technology is to transform undistinguished whispers with lower SNR into clear normal speech, and it has important application prospect in mobile communication. Because the whisper speech is stirred by the yawp source, its formant position shifts and its bandwidth increases, which induces the problem of formant combination occurs in the whisper conversion. By analyzing the power spectrum, in this article, we proposed a modified adaptive algorithm for formant bandwidth. Based on the rule that the pole power does not change, the algorithm has resolved the problem of formant combination by modifying the formant bandwidth of whisper before implementing formant conversion. The experimental results with six Chinese mandarin monophthong phoneme conversions proved the validity of the algorithm.
Highlights
(McCandless S, 1974, P.135-141), and Figure 2 is the formant of the normal speech [o4] after conversion by the Gauss mixture model (Lv, 2004)
Based on the rule that the pole power does not change, in this article, we propose the algorithm which automatically add the energy of the deleted formant to the reserved formant and realize the adaptive formant bandwidth change
The point lineation is three formants obtained by traditional LPC algorithm, and the thin real line is the normal speech frequency spectrum curve after conversion obtained by Gauss mixture model, and from the figure, we can intuitively see the combination of formants F1 and F2
Summary
(McCandless S, 1974, P.135-141), and Figure 2 is the formant of the normal speech [o4] after conversion by the Gauss mixture model (Lv, 2004). 2. Formant combination in whisper conversion Figure 1 is the former three formants extracting whisper signal [o4] by the linear predictive spectrum algorithm
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