Abstract
This paper presents an estimation method of the vocal tract spectrum from articulatory movements. The method is based on the interpolation of spectra obtained by phoneme-dependent neural networks. Given the phonemic context and articulation timing corresponding to each phoneme, the proposed method first transforms articulator positions to phoneme-dependent spectra. Then the vocal tract spectrum is estimated by the interpolation of transformed spectra. This interpolation is based on the distance among the input articulator position and that of the preceding and succeeding phonemes. Also, a training procedure of the neural networks is presented while taking the spectral interpolation into account. Articulatory and acoustic data pairs collected by a simultaneous recording of articulator positions and speech were used as the training and test data. Finally, we showed an estimation result using the proposed method.
| Original language | English |
|---|---|
| Pages | 517-520 |
| Number of pages | 4 |
| Publication status | Published - Jan 1 2004 |
| Event | 8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of Duration: Oct 4 2004 → Oct 8 2004 |
Other
| Other | 8th International Conference on Spoken Language Processing, ICSLP 2004 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju, Jeju Island |
| Period | 10/4/04 → 10/8/04 |
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All Science Journal Classification (ASJC) codes
- Language and Linguistics
- Linguistics and Language
Cite this
Estimation of the vocal tract spectrum from articulatory movements using phoneme-dependent neural networks. / Wakamiya, Kohei; Kaburagi, Tokihiko; Tsuji, Takuya; Kim, Jiji.
2004. 517-520 Paper presented at 8th International Conference on Spoken Language Processing, ICSLP 2004, Jeju, Jeju Island, Korea, Republic of.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - Estimation of the vocal tract spectrum from articulatory movements using phoneme-dependent neural networks
AU - Wakamiya, Kohei
AU - Kaburagi, Tokihiko
AU - Tsuji, Takuya
AU - Kim, Jiji
PY - 2004/1/1
Y1 - 2004/1/1
N2 - This paper presents an estimation method of the vocal tract spectrum from articulatory movements. The method is based on the interpolation of spectra obtained by phoneme-dependent neural networks. Given the phonemic context and articulation timing corresponding to each phoneme, the proposed method first transforms articulator positions to phoneme-dependent spectra. Then the vocal tract spectrum is estimated by the interpolation of transformed spectra. This interpolation is based on the distance among the input articulator position and that of the preceding and succeeding phonemes. Also, a training procedure of the neural networks is presented while taking the spectral interpolation into account. Articulatory and acoustic data pairs collected by a simultaneous recording of articulator positions and speech were used as the training and test data. Finally, we showed an estimation result using the proposed method.
AB - This paper presents an estimation method of the vocal tract spectrum from articulatory movements. The method is based on the interpolation of spectra obtained by phoneme-dependent neural networks. Given the phonemic context and articulation timing corresponding to each phoneme, the proposed method first transforms articulator positions to phoneme-dependent spectra. Then the vocal tract spectrum is estimated by the interpolation of transformed spectra. This interpolation is based on the distance among the input articulator position and that of the preceding and succeeding phonemes. Also, a training procedure of the neural networks is presented while taking the spectral interpolation into account. Articulatory and acoustic data pairs collected by a simultaneous recording of articulator positions and speech were used as the training and test data. Finally, we showed an estimation result using the proposed method.
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M3 - Paper
AN - SCOPUS:85009083774
SP - 517
EP - 520
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