| 1. | The analysis of the length of frame in pitch detection
基音检测中帧长选择的分析 |
| 2. | Autocorrelation algorithm for speech pitch detection based on matlab
的语音信号自相关基音检测 |
| 3. | Super resolution pitch detection based on band - partitioning spectral entropy and signal decomposition in dct domain
分带谱熵与信号分解的高精度基音检测算法 |
| 4. | The original pitch detection algorithm in wi coder is based on normalized cross - correlation function ( nccf )
本课题wi编码器原本采用基于归一化互相关函数( normalizedcross - correlationfunction , nccf )的基音检测算法。 |
| 5. | According to the mechanism of speech signal , an effective pitch detection algorithm by combined liner predictive coding with maximum likelihood was proposed
摘要根据语音信号产生机理，结合常用的线性预测和最大似然法，提出了一种有效的基音检测算法。 |
| 6. | Second , efficient pitch detection is developed in frequency domain , which find fractional pitch . finally , harmonic phase reconstruction that exploits minimum - phase model is proposed
其次，本文开发了一种高效频域基音检测方法，使基音检测结果精确到分数样点。 |
| 7. | Pitch detection is one of the most important tasks in low - rate speech coding field . the accuracy of pitch detection will affect the performance of the whole codec
基音检测是低速率语音编码领域的一个非常重要的问题,准确检测语音信号的基音周期非常关键,它直接影响到整个声码器的性能。 |
| 8. | As the pitch doubling and halving problems of nccf algorithm often occurred with varied noises and signal to noise ratio ( snr ) , vad algorithm is employed to separate speech and non - speech segments
针对nccf基音检测算法在不同噪声、信噪比下容易发生清浊误判的问题,本文在基音检测前端引入语音检测算法划分语音段与非语音段。 |
| 9. | Simulation experiments show that the pitch extracting results of the algorithm are superior to that of the conventional algorithms , overcoming the random errors and multiple or half frequency errors , especially robust at low snr
仿真实验表明，该算法与传统方法相比其基音检测结果有明显的改善，克服了随机错误及倍频、半频错误，并且在低信噪比下鲁棒性较好。 |
| 10. | Because the camdf conquers the defect of traditional amdf , the new pitch detection algorithm not only efficiently decreases the estimation errors , but also simplifies the detection process and improves the precision of estimated value
由于camdf克服了传统amdf函数的不足，新的基音检测算法不仅有效地降低了误判率，而且简化了基音检测过程，提高了估计值的精度。 |
