More resources available at www.misterwootube.com Structure-Based and Template-Based Automatic Speech Recognition --- Comparing parametric and non-parametric approaches Li Deng 1, Helmer Strik 2 1 Microsoft Research, One Microsoft Way, Redmond, WA, USA 2 CLST, Department of Linguistics, Radboud University, Nijmegen, the Netherlands [email protected], [email protected] Speech feature extraction is the signal processing front-end which converts the speech waveform into some useful parametric representation. These parameters are then used for further analysis in various speech related applications such as speech recognition, speaker recognition, speech synthesis and speech coding. It plays
Parametric representation of speech prosody. According to the source-filter theory of speech production (Fant, 1981), a speech waveform can be represented as a convolution of the excitation signal (source signal) and the vocal tract filter. The excitation signal is either the vibration produced by the vocal fold or the noise produced in various ... State-of-the-art statistical parametric speech synthesis (SPSS) generally uses a vocoder to represent speech signals and parameterize them into features for subsequent modeling. Magnitude spectrum has been a dominant feature over the years. Although perceptual studies have shown that phase spectrum is essential to the quality of synthesized speech, it is often ignored by using a minimum phase ...
Parametric representation of the spectral basis is beneficial as it can encompass the signal characteristics like, e.g. the speech production model. It is observed that the parametric representation of basis vectors is beneficial while performing online speech enhancement in low delay scenarios. Home Browse by Title Periodicals Computer Speech and Language Vol. 41, No. C Parametric representation of excitation source information for language identification ...
niques in statistical parametric speech synthesis. Although many research groups have contributed to progress in statisti-cal parametric speech synthesis, the description given here is somewhat biased toward implementation on the HMM-based speech synthesis system (HTS)1 (Yoshimura et al., 1999; Zen et al., 2007b) for the sake of logical coherence. While training an acoustic model for statistical parametric speech synthesis (SPSS) , a set of parametric representation of speech (e.g. cepstra , line spectrum pairs , fundamental frequency, and aperiodicity .) at every 5 ms is ﬁrst extracted then relationships between linguistic features associated with the speech waveform and speech synthesis methods are not capable of yielding as good speech quality as the best unit selection techniques. This stems mainly from three causes [2, 3]: First, the parametric representation of speech, the process called vocoding, is unable to represent the speech waveform adequately hence resulting in robotic quality and buzziness. Second,
Abstract: Several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary included many phonetically similar monosyllabic words, therefore the emphasis was on the ability ... Rui!Ma!!!!!Parametric!SpeechEmotionRecognitionUsing!Neural!Network!!!!! 10!! Figure. 5. Example of speech signal in time domain. 2.2.2 Energy Energy is a basic feature in speech signal process and it plays an important role in emotion recognition, e.g. speech signals of happy and angry emotion have much higher energy than sad.
parametric representation parametric representation spatial Prior art date 2002-04-22 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Active Application number DE60318835T Other languages German (de ... GENERATIVE ADVERSARIAL NETWORK-BASED POSTFILTER FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS Takuhiro Kaneko y, Hirokazu Kameoka y, Nobukatsu Hojo z Yusuke Ijima z, Kaoru Hiramatsu y, Kunio Kashino y y NTT Communication Science Laboratories, NTT Corporation, Japan z NTT Media Intelligence Laboratories, NTT Corporation, Japan ABSTRACT We propose a postlter based on a generative adversarial
The recent work of Flanagan , also inspired by human speech processing, proposes parametric speech coding based on an articulatory representation. The drawback of this approach is that it is ... Abstract: A vocoder is used to express a speech waveform with a controllable parametric representation that can be converted back into a speech waveform. Vocoders representing their main categories (mixed excitation, glottal, and sinusoidal vocoders) were compared in this study with formal and crowd-sourced listening tests. Various parametric representations have been proposed to model the speech signal. While the performance of such vocoders is wellknown in the context of speech processing, their extrapolation to singing voice synthesis might not be straightforward. The goal of this paper is twofold.
A new multicomponent multitone amplitude and frequency-modulated signal model for parametric modelling of speech phoneme (voiced and unvoiced) is presented in this paper. As the speech signal is a multicomponent non-stationary signal, the Fourier–Bessel expansion is used to separate all individual components from the multicomponent speech signal. The parameter estimation is done by analysing ... Keywords. Parametric representation of speech, linear prediction analysis, vowel recognition, distance measure. 1. Introduction Linear prediction (LP) analysis has been used extensively over the last several years for speech processing applications such as speech analysis- synthesis [1,2], speech recognition [3-8] and
This invention is a new kind of parametric speech coding system in which the parametrization according to a speech production model is carried out not only on the speech signal to be coded but also on the decoded, that is, synthesized speech signal. A parametric representation (207) of the synthesized signal is compared with a parametric representation (203) of the original speech signal and ... speech of a source speaker to sound as if it was spoken by a target speaker. In this paper, we describe a parametric framework for voice conversion. The parametric representation separates the speech signal into a vocal tract contribution estimated using linear pr ediction
PARAMETRIC REPRESENTATION OF THE SPEAKER’S LIPS FOR MULTIMODAL SIGN LANGUAGE AND SPEECH RECOGNITION D. Ryumin a, b, A. A. Karpov a, b a St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), Saint-Petersburg, Russian Federation - [email protected], [email protected] Direct Modelling of Magnitude and Phase Spectra for Statistical Parametric Speech Synthesis Felipe Espic, Cassia Valentini-Botinhao, and Simon King The Centre for Speech Technology Research (CSTR), University of Edinburgh, UK [email protected], [email protected], [email protected] Abstract Keywords: Parametric prosody coding, Hierarchical prosodic model, Speaking rate conversion 1 Introduction Speech coding is a process to transform a digitized speech signal into a bit-efficient representation that keeps reasonable speech quality so as to facilitate speech transmission over a band-limited channel or speech stor-
As digital processing of speech becomes commonplace, it becomes desirable to have a parametric representation of speech which is simple, fast, accurate, and directly obtainable from the PCM representation of speech. The ZAPDASH representation of speech (Zerocrossings And Peaks of Differenced And Smooth waveforms) is one such. The PCM data is used to generate a different waveform and a down ... Because statistical parametric speech synthesis uses the source-filter representation of speech, the spectrum, excitation, and duration can be controlled and modified separately. 3.3. Drawbacks and refinements. The biggest drawback with statistical parametric synthesis versus unit-selection synthesis is the quality of synthesized speech. coefﬁcients. Parametric representation of the spectral basis is beneﬁcial as it can encompass the signal characteristics like, e.g. the speech production model. It is observed that the parametric representation of basis vectors is beneﬁcial while performing online speech enhancement in low delay scenarios.
Tangent Lines of Parametric Curves - Duration: 13:56. The Organic Chemistry Tutor 37,978 views. 13:56. How to Start a Speech ... 354,803 views. 9:14. Parametric Representation of the Solution Set ... This article presents a condensed summary of the Marconi presentation, devoted to parametric representation of speech signals. Regarding the future of speech coding. It is shown that "The future is certain to prove interesting!". Statistical parametric speech synthesis o ers many advantages compared to the traditional speech synthesis methods, such as a wider obtainable sound-space with signi cantly lower memory and processing requirements. One of the largest in-dividual problems of statistical parametric speech synthesis is the conservation of
HE selection of the best parametric representation of acoustic data is an important task in the design of any speech recognition system. The usual objectives in selecting a representation are to compress the speech data by eliminating information not pertinent to the phonetic analysis of the data adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A
A Waveform Representation Framework for High-quality Statistical Parametric Speech Synthesis Bo Fan , Siu Wa Leey, Xiaohai Tianzx, Lei Xie and Minghui Dongy School of Computer Science, Northwestern Polytechnical University, Xi’an, China characteristics of speech could be represented in a compact manner by a set of Mel-frequency Cepstrum Coefficients (MFFCs). Atal and Hanauer in 1971 [3, 4] used linear prediction model for parametric representation of speech derived features. Their work gave an entirely new direction to speech technology. A parametric representation (207) of the synthesized signal is compared with a parametric representation (203) of the original speech signal and the coding functions are controlled according to their difference. At first, parametrization (205) according to the speech production model used in the encoding is carried out on the decoded speech signal.
As digital processing of speech becomes commonplace, it becomes desirable to have a parametric representation of speech which is simple, fast, accurate, and directly obtainable from the PCM represe... In this article, we propose a new method for parametric representation of human's lips region. The functional diagram of the method is described and implementation details with the explanation of its key stages and features are given. The results of automatic detection of the regions of interest are illustrated. A speed of the method work using several computers with different performances is ... parametric synthesis. Then statistical parametric speech synthesis is more formally de ned, speci cally based on the implementation on the HMM-based speech synthesis system (HTS) [9,10]. The nal sections discuss some of the advantages in a statistical parametric framework highlighting some of the existing a future directions. 2.
The parametric representation separates the speech signal into a vocal tract contribution estimated using linear prediction and into an excitation signal modeled using a scheme based on sinusoidal ... Vocoders mimic the vocal apparatus to provide a parametric representation of speech audio that is amenable to statistical mapping. RNNs provide a statistical mapping from the text to the audio and have feedback loops in their topology, allowing them to model temporal dependencies between various phonemes in human speech.
Parametric Representation of Speech Signals T elephony was conceived as the electrical transmission of a facsimile of the sound pressure waveform radiated from a talker’s mouth. A microphone performed the acoustic to electrical conversion, and a low-pass fil-ter typically confined the signal to a bandwidth adequate for intelligibility, A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis Prasanna Kumar Muthukumar, Alan W Black Carnegie Mellon University Pittsburgh, USA [email protected], [email protected] Abstract Nearly all Statistical Parametric Speech Synthesizers today use Mel Cepstral coefﬁcients as the vocal tract ... PARAMETRIC REPRESENTATION OF THE SPEAKER’S LIPS FOR MULTIMODAL SIGN LANGUAGE AND SPEECH RECOGNITION D. Ryumin 1,2 and A. A. Karpov 1,2 D. Ryumin and A. A. Karpov . 1 St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), Saint-Petersburg, Russian Federation
COMPARISON OF PARAMETRIC REPRESENTATIONS FOR MONOSYLLABIC WORD RECOGNITION IN ... The selection of the best parametric representation of acoustic data is an important task in the design of any speech recognition system.. The usual objectives in selecting a representation are to compress the speech data by PARAMETRIC REPRESENTATION FOR SINGING VOICE SYNTHESIS: A COMPARATIVE EVALUATION Onur Babacan 1, Thomas Drugman , Tuomo Raitio2, Daniel Erro3, Thierry Dutoit1 1TCTS Lab - University of Mons, Belgium 2Aalto University, Department of Signal Processing and Acoustics, Espoo, Finland 3Ikerbasque - University of the Basque Country, Bilbao, Spain ABSTRACT Various parametric representations have been ...
Parametric representation of speech!Flexible to change its voice characteristics Hidden Markov model (HMM) as its acoustic model!HMM-based speech synthesis system (HTS)  Heiga Zen Statistical Parametric Speech Synthesis June 9th, 2014 6 of 79 Vocoding approaches for statistical parametric speech synthesis Ranniery Maia Toshiba Research Europe Limited Cambridge Research Laboratory Speech Synthesis Seminar Series CUED, University of Cambridge, UK March 2nd, 2011
In this paper, we have proposed parametric representation of speech signals employing a novel multi-component amplitude and frequency modulated (AFM) sinusoidal signal model. The Fourier–Bessel (FB) series expansion is used to separate the multi-component speech signal into a set of mono-component signals. It has been shown that the first component or low-frequency component can be modeled ... A BEGINNERS’ GUIDE TO STATISTICAL PARAMETRIC SPEECH SYNTHESIS 2 The conversion of text into a linguistic speciﬁcation is generally achieved using a sequence of separate processes and a variety of internal intermediate representations. Together, these are known as the “front end”. Parametric speech synthesis aims at predicting speech acoustic features such as spectral and F0 features based on the input lin-guistic specication of text (in the case of Text-to-Speech) or conceptual representation of a potential sentence (in the case of Concept-to-Speech) . This parametric method has achieved
Parametric Representation Of Speech © 2020 Abstract: Several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system. The vo