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潜在的听觉机制 语音识别。在这些知识的实际应用中 主要有：(1)语音合成设备的改进；(2)语音合成设备的发展 健壮的语音识别设备，(3)声学的发展 基于听障人士的培训设备，以及(4)改进 人工耳蜗--植入信号处理器。拟议中的实验属于 三大类。一组实验是在相当直接的情况下进行的 与上一次拨款期间进行的元音感知研究相去甚远 句号。这些实验解决了动态的角色等问题 元音感知中的光谱线索和语音基频。一秒钟 一系列实验解决了关于光谱的更基本的问题 控制语音质量的表示法。这些活动的一个主要目标是 实验是为了测试一种表示语音的方法的有效性 是在前一批赠款期间开发的。《蒙面山峰》 代表“(MPR)是作为两个共振峰的替代而发展起来的 表示法和全谱模型。MPR涉及一系列 旨在去除光谱方方面面的光谱操纵 它们似乎对语音质量没有很大的影响，而 保留那些与语音质量最相关的特征 判断力。MPR将通过以下方式进行评估：(1)实验比较 基于MPR的感知语音距离预测 传统听觉模型，(2)使用Hidden的语音识别测试 马尔可夫模型将MPR谱序列映射到单词或语音上 分段，以及(3)使用从MPR重新合成的语音进行听力测试 光谱。第三组研究旨在模拟低水平听觉 负责频谱分析的机制。这样做的目的是 工作是评估一个频谱分析模型，该模型由 中枢听觉系统，而不是听觉外周。一款软件 将对模型进行模拟，以努力确定 中心光谱模型可以在多大范围内解释 来自听觉心理物理学文献的发现。实验也是 提出了这一模型对元音感知的影响 以及对音高和周期的表示。

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.