ACOUSTIC CORRELATES OF PHONETIC PERCEPTION

描述：可以解决许多实际和理论问题 如果我们能更好地理解 语音识别 在这些知识的实际应用中 主要有：（1）语音合成装置的改进，（2）语音合成技术的发展， 强大的语音识别设备，（3）声学的发展 为听力受损的说话者提供的基于训练的设备，以及（4）改善 耳蜗植入信号处理器 所提出的实验属于 三大类。 一组实验以一种相当直接的 在上一次资助期间进行的元音感知研究的方式 期 这些实验解决的问题，如动态的作用， 元音感知中的频谱线索和语音基频。 第二 一系列实验解决了有关光谱的更基本的问题， 控制语音质量的表示。 其中一个主要目标是 实验的目的是测试一种表示语音的方法的有效性， 是在上一个资助期内开发的。 别名：Masked Peak MPR是作为共振峰的替代方法而开发的 表示和全谱模型。 MPR涉及一系列 光谱操作，旨在消除光谱的某些方面， 这似乎对语音质量没有很大影响， 保留那些与语音质量最相关的特征 判断。 MPR将通过以下方法进行评价：（1）实验比较 基于MPR的感知语音距离的预测与那些更多的 传统的听觉模型，（2）语音识别测试，使用隐藏 马尔可夫模型将MPR频谱序列映射到单词或语音上 段，和（3）听力测试与语音重新合成从MPR 谱 第三组研究旨在模拟低水平的听觉 负责频谱分析的机制。 这个目标 工作是评估一个模型的频谱分析，这是由 中央听觉系统，而不是听觉周边。 软件 将对模型进行模拟，以确定 中央频谱模型在多大程度上可以解释广泛的 听觉心理物理学文献的发现。 实验也 提出了解决这个模型对元音感知的影响 以及用于表示音调和周期性。

DESCRIPTION: Numerous practical and theoretical problems could be addressed if we had a better understanding of the auditory mechanisms underlying phonetic recognition. Among the practical applications of this knowledge are: (1) the improvement of speech synthesis devices, (2) the development of robust speech recognition devices, (3) the development of acoustically based training devices for hearing-impaired speakers, and (4) improvement in Cochlear-implant signal processors. The proposed experiments fall into three major categories. One set of experiments follows in a rather direct way from vowel perception studies conducted during the previous grant period. These experiments address issues such as the role of dynamic spectral cues and voice fundamental frequency in vowel perception. A second series of experiments address more fundamental issues regarding the spectral representations that control phonetic quality. A major goal of these experiments is to test the validity of a method of representing speech that was developed during the previous grant period. The "Masked Peak Representation" (MPR) was developed as an alternative to both formant representations and whole spectrum models. The MPR involves a series of spectral manipulations that are designed to remove aspects of the spectrum that do not appear to have a strong influence on phonetic quality, while retaining those features that are most relevant to phonetic quality judgments. The MPR will be evaluated with: (1) an experiment comparing MPR-based predictions of perceived phonetic distance with those of a more traditional auditory model, (2) speech recognition tests that use a Hidden Markov Model to map sequences of MPR spectra onto words or phonetic segments, and (3) listening tests with speech resynthesized from MPR spectra. A third set of studies is aimed at modeling the low-level auditory mechanisms that are responsible for spectrum analysis. The goal of this work is to evaluate a model of spectrum analysis that is carried out by the central auditory system rather than the auditory periphery. A software simulation of the model will be developed in an effort to determine the extent to which the central-spectrum model can account for a broad range of findings from the auditory psychophysics literature. Experiments are also proposed that address the implications of this model for vowel perception and for the representation of pitch and periodicity.