On a Speech Multiple System Implementation for Speech Synthesis

This paper proposes a voice synthesizer to convert a single speech to multiple speeches. Pitch is an important voice characteristic of speech parameter and it is produced by the periodic vibration of the vocal-cords; the parameter most sensitive for human’s auditory sense. So if you change the pitch of the voice with several different scaling rates, you can produce several different voices at the same time with a voice. The Multiple-Speech Synthesizer will be used in diverse practical applications. The cheer synthesizer that makes group voice from a single voice would be such an example. You could also use the system for a troll toy, birthday song tracks, effect sounds in movies and plays, protection systems of houses, etc. Furthermore, the synthesizer could be used to imitate the voice of famous entertainers or cartoon characters, such as the Mask-man.

四声模糊识别方法

本文给出一种快速模糊声调识别方法，用一电平削波、降低采样率和线性插值等形成快速基音提取，应用模糊集合旦论，构成隶属函数对四声进行模式分类。方法具有简便、可靠、快速实时性和容差性等特点。     

TWO KINDS OF PITCH PREDICTORS IN SPEECH COMPRESSING CODING

This paper studies two kinds of methods for pitch predictor in speech compressing coding, i.e., open-loop and closed-loop structures. Some of simplified approaches for solving pitch predictor equation are suggested, and the performances are compared under several conditions. The computer simulation results are shown.     

Performance demands and the performer's vocal capabilities

Performers could benefit by knowing in advance and by objective means, what vocal requirements for a particular role or performance are potentially harmful to them. By combining the concept of the “phonetogram” (F₀ — SPL Profile) with automatic pitch extraction of vocal performances, a contour of the vocal performance demands can be superimposed on the profile of the individual's vocal capabilities. Vocal productions that are near to or exceeding the vocal capabilities of a performer can be presumed to be potentially hazardous. Likewise, performance demands that are clearly within the profile of a given individual can be presumed to be nonhazardous with respect to pitch and amplitude range.     

Perceptual evaluations of voice scatter in unison choir sounds

The preferences of experienced listeners for pitch and formant frequency dispersion in unison choir sounds were explored using synthesized stimuli. Two types of dispersion were investigated: (a) pitch scatter, which arises when voices in an ensemble exhibit small differences in mean fundamental frequency, and (b) spectral smear, defined as such dispersion of formants 3 to 5 as arises from differences in vocal tract length. Each stimulus represented a choir section of five bass, tenor, alto, or soprano voices, producing the vowel [u], [a], or [w]. Subjects chose one dispersion level out of six available, selecting the “maximum tolerable” in a first run and the “preferred” in a second run. The listeners were very different in their tolerance for dispersion. Typical scatter choices were 14 cent standard deviation for “tolerable” and 0 or 5 cent for “preferred.” The smear choices were less consistent; the standard deviations were 12 and 7%, respectively. In all modes of assessment, the largest dispersion was chosen for the vowel [u] on a bass tone. There was a vowel effect on the smear choices. The effects of voice category were not significant.     

An approach to voice conversion using feature statistical mapping

The voice conversion (VC) technique recently has emerged as a new branch of speech synthesis dealing with speaker identity. In this work, a linear prediction (LP) analysis is carried out on speech signals to obtain acoustical parameters related to speaker identity - the speech fundamental frequency, or pitch, voicing decision, signal energy, and vocal tract parameters. Once these parameters are established for two different speakers designated as source and target speakers, statistical mapping functions can then be applied to modify the established parameters. The mapping functions are derived from these parameters in such a way that the source parameters resemble those of the target. Finally, the modified parameters are used to produce the new speech signal. To illustrate the feasibility of the proposed approach, a simple to use voice conversion software has been developed. This VC technique has shown satisfactory results. The synthesized speech signal virtually matching that of the target speaker.     

基于内容的音频检索方法研究

介绍了几种常用基音检测方法:短时平均幅度差,倒谱法,简化逆滤波法;详细讲解了基于时域的短时自相关基音检测方法.分别在MATLAB和VC++平台上实现了哼唱旋律的提取与描述.     

噪声环境下的基音检测方法

噪声环境下的基音检测在语音信号分析和识别中占有得要地位。自相关法和平均幅度差函数是两种常用的基音检测方法。结合两种方法,提出了一种有效的噪声环境下基音检测方法。实验表明,该方法是可行的,与传统方法相比鲁棒性好,特别适用于信噪比较低的情况。     

Fundamental frequency patterns of Chinesein different speech modes

I.IntroductionTheF,patternsofspeechareimportantnotonlyforthcprosodicfeaturesbuta1soforvoicesourcecharactcristics.Nowmoreandmorespeechscientistsrecognizedthatvoiceexcitationsourceintcxt-to-spccchsystemsp1aysanimportantro1elnbothintclligibilityandnaturalnessorsynthcticspcech.Espccially,forChinese,atone1anguagewithmulti-tonesystem,thetonalpatternswhicharcmainlydcmonstratedintheF,con-tourscarry1exicalmeaning.SomecomparativestudiesoftheF,pattcrnsinbetweentonelanguage(Chinese)andstress1anguage(En…