• Parametric Stochastic Trajectory Model: in a speaker recognition system, it's often encountered that the speech data isn't enough for training.

    参数化随机轨线模型:在说话人识别系统中,经常存在训练语料不足的问题。

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  • A new algorithm of employing the fuzzy neural network is proposed to realize speech data fusion for speech recognition under high noisy condition.

    针对高噪音环境中的语音识别问题,提出一种利用模糊神经网络进行语音数据融合的新算法。

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  • Owing to the lack of telephone speech data, this paper proposes a software simulation implementation of converting clean speech sounds into telephone-quality ones.

    针对电话语料比较缺乏的问题,提出了一种完全由软件模拟实现由纯净语音向电话质量语音转换的算法。

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  • To improve the performance of speaker recognition in the condition of noise and little speech data, feature parameters were studied based on the Vector Quantization (VQ).

    为了使说话人识别系统在语音较短和存在噪声的环境下也具有较高的识别率,基于矢量量化识别算法,对提取的特征参数进行研究。

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  • ISD1420 is a fresh generation speech chip which can make recorded speech data reserve permanently, and is high fidelity, low power consumption, fit for interfacing with microcomputer.

    ISD1420是一种录音数据永久保存、高保真、耗电小、适用于同单片机接口的新一代语音器件。

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  • At present, MPEG2 has become the most prevalent coding technique, which is mainly used for the transmission of speech data and viewdata.

    MPEG2是目前应用最广泛的一种编码技术,主要用于语音,图像数据传输。

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  • This paper describes the effect of additive noise and convolution noise on speech data and gives a blind environmental compensation method to improve environmental robustness.

    本文讨论了环境加性噪声和卷积噪声对语音数据的影响,以及提高系统的鲁棒性的盲的环境补偿方法。

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  • This paper describes the effect of additive noise and convolution noise on speech data and gives a blind environmental compensation method to improve environmental robustness.

    本文讨论了环境加性噪声和卷积噪声对语音数据的影响,以及提高系统的鲁棒性的盲的环境补偿方法。

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