auditory model造句
例句與造句
- Speaker feature extraction based on human auditory model and speaker identification under noisy background
基于聽覺模型的話者特征參數(shù)提取及其在噪聲背景下的話者辨識 - Main ideas as follows : research of audio digital watermark algorithm based on fast fourier transforms and psychoacoustic auditory model
主要工作有:基于快速傅立葉變換與聲學(xué)模型的音頻數(shù)字水印算法研究。 - The result of experiments show that resynthesized speech signals form the its correlogram by auditory model inversion is nature and robust in noisy environment
實驗結(jié)果表明，我們通過聽覺模型反演從信號的自相關(guān)圖譜中恢復(fù)出的語音信號，具有較好的自然度和良好的噪聲魯棒性。 - With the auditory model as the front - end to extract the correlogram of signals . following , this paper present the implementation of suditory model inversion procedure by resynthesizing original signal from the correlogra - m
接著，文章闡述了通過實現(xiàn)聽覺模型反演過程從信號的自相關(guān)圖譜中恢復(fù)出原始的語音信號的過程。 - The laboratory has proposed several speaker recognition methods involving computational auditory models , modular neural networks , gaussian mixed models , hidden markov models , and implemented a recognition framework combining semantic and voiceprint information
實驗室提出了基于聽覺計算模型、模塊化神經(jīng)網(wǎng)絡(luò)、高斯混合模型、隱馬爾科夫模型等說話人識別方法，以及結(jié)合語義和聲紋信息的說話人識別框架。 - It's difficult to find auditory model in a sentence. 用auditory model造句挺難的
- In this paper , on the basis of absorption of achievements of the research on auditory physiology , an auditory model simulationg the peripheral auditory system and part of the central auditory system is set up . the model is made of the fitlters presenting the characteristics of the basilar membrane for analyzing the voice signals , the half wave rectification modeling the inner hair cells and energy transfer of nerve fiber
在吸收聽覺生理學(xué)研究成果基礎(chǔ)上，建立了一個模擬外圍聽覺系統(tǒng)和部分中樞圣經(jīng)系統(tǒng)功能的聽覺模型。模型由表征基底膜的頻率分析的帶通濾波器組、內(nèi)毛細(xì)胞的半波整流特性和神經(jīng)纖維的能量轉(zhuǎn)換特性組成，該模型可以作為前端處理來提取語音信號的自相關(guān)圖譜。 - In order to reduce the musical residual noise and the background noise , a speech enhancement method based on masking properties of the human auditory system is described . this method uses bark wavelet packet transform to simulate the frequency feature of human auditory model to get the threshold
本文以最大限度減少殘留噪聲和背景噪聲為目的，采用bark子波分析的方法模擬人耳基底膜的頻率分析特性來進(jìn)行語音增強，重點進(jìn)行模擬人耳聽覺掩蔽效應(yīng)來確定除噪閾值的研究。