Error Evaluation of an F0-Adaptive Spectral Envelope Estimator in Robustness against the Additive Noise and F0 Error

By Masanori Morise. 2015

23 citations recorded by the source corpus.

This paper describes an evaluation of a temporally stable spectral envelope estimator proposed in our past research. The past research demonstrated that the proposed algorithm can synthesize speech that is as natural as the input speech. This paper focuses on an objective comparison, in which the proposed algorithm is compared with two modern estimation algorithms in terms of estimation performance and temporal stability. The results show that the proposed algorithm is superior to the others in both aspects. key words: speech analysis, spectral envelope, F0-adaptive analysis, timevarying component

Subfields: Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Junichi Yamagishi
2. Shinji Takaki
3. Kenji Ozawa
4. Fumiya Yokomori
5. Masanori Morise
6. Luisa Verdoliva

In Signal Processing

1. Junichi Yamagishi
2. Shinji Takaki
3. Kenji Ozawa
4. Fumiya Yokomori
5. Xin Eric Wang
6. Tomoki Toda
7. Masanori Morise
8. Zhenhua Ling

Citations in the corpus

• WORLD: A Vocoder-Based High-Quality Speech Synthesis System for Real-Time Applications (2016, methodology): “2.2 CheapTrick: Spectral Envelope Estimation Algorithm [16], [18] The spectral envelope is also an important parameter in speech processing, and Cepstrum and linear predictive coding (LPC) [23] are typical algorithms for determining it.”
• A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis (2016, methodology): “For instance, a spectral envelope estimation algorithm implemented in the WORLD vocoder performs F0-adaptive windowing, smoothing of the power spectrum, and spectral recovery in the quefrency domain for obtaining accurate and stable spectral envelopes [13, 14].”