Báo cáo hóa học: " Research Article Robust Speech Recognition Using Factorial HMMs for Home Environments" docx

... clean -speech HMMs and an HMM for sudden noise. The recognition units in clean -speech HMMs were triphones, which were trained using clean- speech data. An HMM for sudden noise was trained using sudden ... and clean speech well is very difficult. Clean -speech HMMs Noisy -speech HMMs FHMMs 30 35 40 45 50 55 Recognition accuracy (%) Figure 7: Recognition rates of cl...

Ngày tải lên: 22/06/2014, 23:20

... Corporation EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 519206, 9 pages doi:10.1155/2008/519206 Research Article Robust Speech Watermarking Procedure in the Time-Frequency Domain Srdjan ... by using the measure of detection quality defined by (17), we repeated the procedure for 50 trials (for 50 right keys—watermarks). They are modeled corresponding...

Ngày tải lên: 21/06/2014, 22:20

... normal -speech hidden Markov models (HMMs) cannot be used for recognition of speech captured by a NAM microphone. To realize nonaudible murmur recognition, new HMMs have to be trained using nonaudible ... approach for speech recognition. More specifically, the acoustic models used to recognize audible speech received by a close-talking microphone cannot be used for recogn...

Ngày tải lên: 22/06/2014, 23:20

... methods for digital watermarking and information embedding,” IEEE Transactions on Information Theory, vol. 47, no. 4, pp. 1423–1443, 2001. [16] Y. Xiao, L. M. Cheng, and L. L. Cheng, “A robust ... threshold for adjusting watermark embedding Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011, Article ID 184817, 9 pages doi:10.1155/2011/184817 R...

Ngày tải lên: 21/06/2014, 08:20

... Speech Recognition System For objective measurement, an automatic speech recog- nition (ASR) system was applied. We use an automatic speech recognition system based on Hidden Markov Models (HMMs) . ... all kinds of voice and speech disorders in less than real time via the Internet. 9. Conclusion Speech evaluation by an automatic speech recognition sys- tem is a valuable m...

Ngày tải lên: 21/06/2014, 20:20

... Corporation EURASIP Journal on Audio, Speech, and Music Processing Volume 2007, Article ID 16816, 18 pages doi:10.1155/2007/16816 Research Article Wideband Speech Recovery Using Psychoacoustic Criteria Visar ... 0.905 dB TheEPerroroveraspeechsegment Figure 13: The excitation pattern errors for speech synthesized us- ing the proposed loudness-based model and for speech synth...

Ngày tải lên: 22/06/2014, 19:20

... Advances in Signal Processing Volume 2007, Article ID 38341, 10 pages doi:10.1155/2007/38341 Research Article Robust Adaptive Modified Newton Algorithm for Generalized Eigendecomposition and Its ... signal processing areas, for example, pattern recognition [1, 2], and signal processing for wireless com- munications [3, 4]. Many efficient adaptive algorithms have been proposed fo...

Ngày tải lên: 22/06/2014, 20:20

... of uniformly smooth spaces are the Lebesgue L p , the sequence  p , and Sobolev W m p spaces for 1 <p<∞. In particular, for 1 <p≤ 2, these spaces are p- uniformly smooth and for 2 ≤ ... Let X be a uniformly smooth Banach space and T : X → 2 X a generalized Φ- hemiaccretive with bounded range. For any given f ∈ X, define S : X → 2 X by Sx : x − Tx  f for all x ∈ X. For a...

Ngày tải lên: 21/06/2014, 11:20

... the robustness and discriminability. The performance for the query action recognition among multiple actions is also evaluated in the second phase. Finally, the performance of our method for ... sufficiently applied for real-time applications. 4.2. Recognition Performance in Multiple Actions. In this subsection, we demonstrate the recognition accuracy of the proposed method by usin...

Ngày tải lên: 21/06/2014, 18:20

... snr for all equalizers and n = 512. For snr less than 22 dB, the nonlinear GPR equalizer achieves the minimum BER with a gain larger than 3 dB for BER around 10 −3 .Forlargersnr, the performance ... , f n ]  using Bayes rule, as we did in Section 3 for GPR with w, and we can integrate out f to predict the class label for any new test point x ∗ . We can compute the class label fo...

Ngày tải lên: 22/06/2014, 01:20