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speaker identifications造句

"speaker identifications"是什么意思   

例句與造句

  1. the application of the emd in speaker identification
    在說話人辨認(rèn)中的應(yīng)用
  2. robust feature based on speech harmonic structure for speaker identification
    非變異特征的指紋鑒別技術(shù)
  3. research on noise compensation for text-independent speaker identification
    噪聲補(bǔ)償應(yīng)用于與文本無關(guān)的說話人辨認(rèn)研究
  4. research on noise compensation for text-independent speaker identification
    噪聲補(bǔ)償應(yīng)用于與文本無關(guān)的說話人辨認(rèn)研究
  5. application of probabilistic neural network in text-independent speaker identification
    概率神經(jīng)網(wǎng)絡(luò)在文本無關(guān)說話人識(shí)別中的應(yīng)用
  6. It's difficult to find speaker identifications in a sentence. 用speaker identifications造句挺難的
  7. a robust feature-extraction method based on wavelet transform for text-independent speaker identification
    變換的非特定人語(yǔ)音特征提取方法
  8. based on multi-features and multi-stages decision speaker identification in telecommunication network
    基于多特征序貫判決的電話語(yǔ)音聲紋鑒別方法研究
  9. it can be classified into speaker identification and speaker verification according to decision modes
    說話人識(shí)別可以分為說話人鑒定和說話人確認(rèn)兩大類。
  10. speaker identification based on classify feature sub-space gaussian mixture model and neural net fusion
    基于分類特征空間高斯混合模型和神經(jīng)網(wǎng)絡(luò)融合的說話人識(shí)別
  11. 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(shí)
  12. (3 ) a real-time speaker identification system that introduces acoustic classification information into a heteroscedastic pnn model is proposed
    (3)提出了一種基于聲學(xué)分類的并行異方差pnn的實(shí)時(shí)說話人辨認(rèn)系統(tǒng)。
  13. some factors such as speed, volume and time interval which affect the performance of speaker identification system were taken into consideration
    在錄制不同說話人的語(yǔ)音庫(kù)時(shí),充分考慮到了語(yǔ)速快慢、音量、時(shí)間、噪音等影響說話人識(shí)別性能的因素。
  14. finally a text independent speaker identification system is implemented . it is proved that the theory we introduced is effective to speaker recognition application
    最后實(shí)現(xiàn)了一個(gè)不依賴文本的說話人辨認(rèn)系統(tǒng),實(shí)踐證明文中所提的理論和方法是有效的。
  15. it is a branch of speech recognition . it can be divided into speaker identification and speaker verification . firstly the basic theory of speaker recognition is discussed
    本文主要研究的是說話人識(shí)別,它是語(yǔ)音識(shí)別的一個(gè)分支,可分為說話人辨認(rèn)和說話人確認(rèn)。
  16. lastly, speaker identification experiments results using matlab or vc + + program tool indicate that the proposed parameters, models and algorithms improve identification accuracy in noise
    最后,matlab和visualc說話人辨認(rèn)實(shí)驗(yàn)證明了本文提出的參數(shù)、模型和算法提高了噪聲環(huán)境下的系統(tǒng)辨認(rèn)性能
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