Articulatory features for expressive speech synthesis pdf

Examples of manipulations using vocal tract area functions. Articulatory features for large vocabulary speech recognition. When looking at articulatory synthesis based on phonetic input, it is exclusively based on non expressive speech, i. We present a history of the main methods of texttospeech. In this approach, the ess is achieved by modifying the parameters of the neutral speech which is synthesized from the text. We describe experiments on how to use articulatory features as a meaningful intermediate representation for speech synthesis. Datadriven synthesis of expressive visual speech using an.

A textto speech tts system converts normal language text into speech. Measurements of articulatory variation in expressive. Articulatory features for speech driven head motion synthesis by atef ben youssef, hiroshi shimodaira and david a. Continuous expressive speaking styles synthesis based on cvsm. The following table explains how to get from a vocal tract to a synthetic sound. Articulatory features for expressive speech synthesis. Measurements of articulatory variation and communicative. In these studies, often the articulatory features derived from the acoustics are treated as generic or speakerindependent representations of the speech signal.

Speech synthesis from neural decoding of spoken sentences. Can we generate emotional pronunciations for expressive speech. One feature of this research tool is the simulated annealing optimization procedure that is used to optimize. The gnuspeech suite still lacks some of the database editing components see the overview diagram below but is otherwise complete and working, allowing articulatory speech synthesis of english, with control of intonation and tempo, and the ability to view the. Mage reactive articulatory feature control of hmmbased parametric speech synthesis by maria astrinaki, alexis moinet, junichi yamagishi, korin richmond, zhen. We also describe an evaluation of the resulting gesturebased articulatory tts, using artic. Sequencelevel data is simpler to work with in applications where precise alignment with original waveform is not important. Articulatory phonetic features for improved speech recognition. Articulatory synthesis based on phonetic input is so far typically based on non expressive speech, i. Pdf articulatory features for expressive speech synthesis. Articulatory speech synthesis is the most rigorous way of synthesizing speech, as it constitutes a simulation of the mechanisms underlying real speech production. Examples of manipulations using vocal tract area functions in. Articulatory features for expressive speech synthesis alan w.

Most of previous studies on lip movement synthesis have relied on the recordings from one subject in order to avoid. This kind of articulatory feature has also been applied to expressive speech synthesis in recent work 14. For synthesis, a source sound is needed that supplies the driver of the vocal tract filter. Articulatory features, where the speech signal is represented by multistreams of. For instance, articulatory features have to be mapped into acoustic features, which correspond to a different representation, before using a vocoder. However, expressiveness can have a strong effect on articulation and speech production. Terms such as bilabial, labiodental, fricative, and trill characterize and classify the articulatory features of different phonemes. Measurements of articulatory variation in expressive speech. Articulatory speech synthesizer changshiann wu department of information management. The main concept is that natural speech has three attributes in the human speech processing system, i. Alan w black carnegie mellon school of computer science. The present study used articulatory speech synthesis to generate synthetic words with different combinations of articulatory acoustic features and explored their individual and combined effects on the intelligibility of the words in pink noise and babble noise.

Articulatory speech synthesis models the natural speech production process. Articulatory features for conversational speech recognition. Gnuspeech gnu project free software foundation fsf. A comprehensive articulatory speech synthesizer is very important to the success of voice mimicking systems. Can we generate emotional pronunciations for expressive. Articulatory features for expressive speech synthesis conference paper in acoustics, speech, and signal processing, 1988. In the field of expressive speech synthesis, a lot of work has been conducted. Timothy bunnell 2, ying dou 3, prasanna kumar muthukumar 1, florian metze 1, daniel perry 4, tim polzehl 5, kishore prahallad 6, stefan steidl 7, and callie vaughn 8 1 language technologies institute, carnegie mellon university.

This model uses a set of articulatory and emotional features directly. Phonology modelling for expressive speech synthesis halinria. New parameterizations for emotional speech synthesis. Wang ling, chris dyer, alan w black, isabel trancoso, twotoo simple adaptations of word2vec for syntax problems naacl2015, denver, usa, june 2015 alan w black and prasanna kumar muthukumar, random forests for statistical speech synthesis interspeech 2015, dresden, germany. Articulatory features for speechdriven head motion synthesis. The main objective of this report is to map the situation of todays speech synthesis technology and to focus. The synthesizer we have used is the one developed at kth and at rutgers, tracttalk 5. Integrating articulatory features into hmmbased parametric speech synthesis article pdf available in ieee transactions on audio speech and language processing 176. The classification of speech sounds in this way is called articulatory phonetics. Panagiotis paraskevas filntisis, athanasios katsamanis, pirros tsiakoulis, petros maragos. One of the main problems regarding expressive speech synthesis is the vast amount of possibilities. Modeling consonantvowel coarticulation for articulatory.

Pdf magereactive articulatory feature control of hmm. International symposium on speech, image processing and neural networks, pages 595 598, april 1994 s. Integrating articulatory features into hmmbased parametric speech synthesis. Speech driven expressive talking lips with conditional sequential generative adversarial. We describe experiments on how to use articulatory features as a meaningful. This paper proposes novel approaches to mispronunciation detection and diagnosis mdd on secondlanguage l2 learners speech with articulatory features. Here, articulatory features are the positions of articulators when pronouncing phonemes and reflect the pronunciation mechanisms of each phoneme.

A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. Speech synthesis is the artificial production of human speech. After a short overview of human speech production mechanisms and wave propagation in the vocal tract, the acoustic tube model is derived. A biomechanical modeling approach the journal of the acoustical society of america 141, 2579 2017. The paper introduces workinprogress on multimodal articulatory data collection involving multiple instrumental techniques such as electrolaryngography egg, electropalatography epg and electromagnetic articulography ema.

Timothy bunnell 2, ying dou 3, prasanna kumar muthukumar 1, florian metze 1, daniel perry 4, tim polzehl 5, kishore prahallad 6, stefan steidl 7, and callie vaughn 8. This presents a new challenge in acoustic as well as in visual speech synthesis. Using articulatory features and inferred phonological segments in zero resource speech processing. Evaluation of a voice quality centered coder on the different acoustic dimensions. Towards realtime twodimensional wave propagation for. The characteristics of synthetic speech can be easily controlled by modifying generated articulatory features as part ofthe process of producing acoustic synthesis parameters. A central challenge for articulatory speech synthesis is the simulation of realistic articulatory movements, which is critical for the generation of highly natural and intelligible speech. Currently, the most successful approach for speech generation in the commercial sector is concatenative synthesis.

Can we generate emotional pronunciations for expressive speech synthesis ieee transactions of affective computing, 2018. Integrating expressive phonological models in a tts system to generate. The gnuspeech suite still lacks some of the database editing components see the overview diagram below but is otherwise complete and working, allowing articulatory speech synthesis of english, with control of intonation and tempo, and the ability to view the parameter tracks and intonation contours generated. Mage reactive articulatory feature control of hmmbased parametric speech synthesis maria astrinaki 1, alexis moinet 1, junichi yamagishi 2. Apr 09, 2019 select article videorealistic expressive audiovisual speech synthesis for the greek language. Several studies have shown how articulation is affected by expressiveness in speech, in other words, articulatory parameters behave differently under the influence of different emotions 2, 3. However, for studying speech production it is the most suitable method. Compared to other approachesinspeechsynthesis,ithasthepotentialtosynthesize speech with any voice and in any language with the most natural quality. Phonemelevel parametrization of speech using an articulatory model.

Haskltki laboratones status report on speech research 1992, sr111. Here we designed a neural decoder that explicitly leverages kinematic and sound representations encoded in human cortical activity to synthesize audible speech. Inverted articulatory features have been found useful for speech recognition 911, but their effectiveness in speech modification is not well studied. However, prosody is highly related to the sequence of phonemes to be expressed. Section 3 describes the two accent conversion methods and the equivalent articulatory. Studies have demonstrated that articulatory information can model speech variability effectively and can potentially help to improve speech recognition performance. Control of an articulatory speech synthesizer based on dynamic approximation of spatial articulatory targets. Such knowledge is valuable not only for the understanding of emotion encoding in the articulatory domain in conjunction from linguistic perspective but also for articulatory speech synthesis that can accommodate emotional coloring. Given dynamic process of speech, the articulatory features may change during the pronunciation of a phoneme, the mapping chart provides two sets of articulatory features for the start and end portions respectively of such phonemes, as illustrated by the ay,b and t lines in table 2. Decoding speech from neural activity is challenging because speaking requires very precise and rapid multidimensional control of vocal tract articulators.

More information about this subject can be found, for example, in the masters thesis of sami lemmetty see the literature list at the end of this chapter. As a speech synthesis method it is not among the best, when the quality of produced speech sounds is the main criterion. The data is recorded from two native estonian speakers one male and one female, the target amount of the corpus is approximately one hour of speech from both. Exploiting articulatory features for pitch accent detection. Videorealistic expressive audiovisual speech synthesis for the greek language. Articulatory speech synthesis using a parametric model and a polynomial mapping technique. The shape of the vocal tract can be controlled in a number of ways which usually involves modifying the position of the speech articulators, such as the tongue, jaw, and lips. We built all our models in the context of the festival speech synthesis engine 22.

Concatenative synthesizers store segments of natural speech. During the last few decades, advances in computer and speech technology increased the potential for speech synthesis of high quality. Towards realtime twodimensional wave propagation for articulatory speech synthesis the journal of the acoustical society of america 9, 2010 2016. Expressive synthetic speech pictures taken from paul ekman. Index terms articulatory features, hidden markov model. Interspeech 2016 september 812, 2016, san francisco, usa. Timothy bunnell, ying dou, prasanna kumar muthukumar, florian metze, daniel perry, tim polzehl, kishore prahallad, stefan steidl and callie vaughn. The following subsections describe the main principles of the three most commonly used speech synthesis methods.

It also may serve as input for the encoder in sequencetosequencebased speech synthesis. Tts director, a tool to tune the texttospeech system, expressive units can be. A further direction in datadriven processing is statistical parametric speech synthesis 5. Unsupervised clustering for expressive speech synthesis joao p. Instead of using the actual articulatory features obtained by direct measurement of articulators, we use the posterior probabilities produced by multilayer perceptrons mlps as articulatory features. Abstract this paper describes some of the results from the project entitled new parameterization for emotional speech synthesis held at the summer 2011 jhu clsp workshop. It is a modified version of the hmmbased paramet in this paper, we present the integration of articulatory con ric speech synthesis approach that has become a mainstream trol into m age, a. Among various approaches for ess, the present paper focuses the development of ess systems by explicit control. Expressive synthesized speech with respect to giving kismet the ability to generate emotive vocalizations, janet cahns work e.

Pdf integrating articulatory features into hmmbased. As a first step toward using articulatory inversion in speech modification, this article investigates the impact on synthesis quality of replacing measured articulators with predictions from. Articulatory synthesis refers to computational techniques for synthesizing speech based on models of the human vocal tract and the articulation processes occurring there. Browmanand louis goldsteint introduction gestures are characterizations of discrete, physically real events that unfold during the speech production process. If the goal is to understand the acoustic and articulatory characteristics. To utilize the articulatory features in mdd, they must. Articulatory speech synthesis models the natural speech production. Most of the studies involving articulatory information have focused on effectively estimating them from speech, and few studies have actually used such features for speech recognition. Articulatory features for expressive speech synthesis, 2007. Index terms speech synthesis, articulatory features, emo tional speech. However, expressiveness might affect articulation and how we produce speech a great deal and an articulatory. Where generative models are used based on averages of speech units. The theory behind controllable expressive speech synthesis arxiv. An articulatory feature serves as a road map to what the articulators are doing when a phoneme is produced.

We present work carried out to extend the text to speech tts platform. Index termsexpressive speech synthesis, emotion, pronunciation adaptation, conditional. Articulatory phonology is a linguistic theory originally proposed in 1986 by catherine browman of haskins laboratories and louis m. According to schroder 2009, the expressive speech synthesis approaches can be broadly classified into the following three categories. Unsupervised clustering for expressive speech synthesis. Articulatory synthesis is the production of speech sounds using a model of the vocal tract. Control of an articulatory speech synthesizer based on dynamic approximation of. January 22nd 2019 this is a collection of examples of synthetic affective speech conveying an emotion or natural expression and maintained by felix burkhardt. Attention model for articulatory features detection.

Articulatory phonology attempts to describe lexical units. In the domain of speech synthesis, kello and plaut 16 showed that synthesized speech driven by articulatory data had a word identification rates cof 84%, 8% lower than those of the actual recordings despite the fact that the ema data had been complemented with measurements. Finally, the scope for the present work is given in sect. Among various approaches for ess, the present paper focuses the development of ess systems. This paper describes some of the results from the project entitled new parameterization for emotional speech synthesis held at the summer 2011 jhu clsp workshop.

The theory identifies theoretical discrepancies between phonetics and phonology and aims to unify the two by treating them as low and highdimensional descriptions of a single system. We explain how speech can be represented and encoded with audio features. Mage reactive articulatory feature control of hmmbased. Effect of articulatory and acoustic features on the. Speakers often use a more exaggerated way to pronounce accented phonemes, so articulatory features can be helpful in pitch accent detection. Pdf mage reactive articulatory feature control of hmm. Articulatory features for expressive speech synthesis by alan w. Her system was based on dectalk, a commercially available textto speech speech synthesizer that models the human articulatory tract. Expressive speech synthesis by playback approach expressive speech synthesis by implicit control 2. Cabral trinity college dublin, ireland the adapt centre is funded under the sfi research centres programme grant rc2106 and is cofunded under the european regional development fund. Gesturebased articulatory text to speech synthesis vocaltractlab. In normal speech, the source sound is produced by the glottal folds, or voice box. Automatic head motion prediction from speech data, in. Speech is created by digitally simulating the flow of air through the.

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