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Momel

Momel is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Momel rather than just read about it. In short: Momel (Modelling melody) is an algorithm developed by Daniel Hirst and Robert Espesser at the CNRS Laboratoire Parole et Langage, Aix-en-Provence: for the analysis and synthesis of intonation patterns. Purpose The analysis of raw fundamental frequency curves for the study of intonation needs to take into account the fact that speakers are simultaneously producing an intonation pattern and a sequence of syllables mad…

Key takeaways

  • Momel belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Momel to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Momel from memory before moving on to harder problems.

Reference excerpt

Momel (Modelling melody) is an algorithm developed by Daniel Hirst and Robert Espesser at the CNRS Laboratoire Parole et Langage, Aix-en-Provence: for the analysis and synthesis of intonation patterns.

Purpose The analysis of raw fundamental frequency curves for the study of intonation needs to take into account the fact that speakers are simultaneously producing an intonation pattern and a sequence of syllables made up of segmental phones. The actual raw fundamental frequency curves which can be analysed acoustically are the result of an interaction between these two components and this makes it difficult to compare intonation patterns when they are produced with different segmental material. Compare for example the intonation patterns on the utterances It's for papa and It's for mama.

Algorithm The Momel algorithm attempts to solve this problem by factoring the raw curves into two components:

a macromelodic component - modelled as a quadratic spline function . This is assumed to correspond to the global pitch contour of the utterance, and which is independent of the nature of the constituent phonemes. The underlying hypothesis is that this macromelodic component is, unlike raw fundamental frequency curves, both continuous and smooth. It corresponds approximately to what we produce if we hum an utterance instead of speaking it. a micromelodic component consisting of deviations from the macromelodic curve - called a micromelodic profile. This residual curve is assumed to be determined entirely by the segmental constituents of the utterance and to be independent of the macromelodic component. The quadratic spline function used to model the macromelodic component is defined by a sequence of target points, (couples <s, Hz> each pair of which is linked by two monotonic parabolic curves with the spline knot occurring (by default) at the midway point between the two targets. The first derivative of the curve thus defined is zero at each target point and the two parabolas have the same value and same derivative at the spline knot. This in fact defines the most simple mathematical function for which the curves are both continuous and smooth.

Implications On the one hand, two utterances "For Mama!" and "For Papa!" could thus be modelled with the same target points (hence the same macromelodic component) while "For Mama?" and "For Papa?" would also have the same target points but which would probably be different from those of the first pair. On the other hand, the utterances "For Mama!" and "For Mama?" could be modelled with the same micromelodic profile but with different target point, while "For Papa!" and "For Papa?" would also have the same micromelodic profile but which would be different from those of the first pair. The Momel algorithm derives what its authors refer to as a phonetic representation of an intonation pattern which is neutral with respect to speech production and speech perception since while not explicitly derived from a model of either production or perception it contains sufficient information to allow it to be used as input to models of either process. The relatively theory-neutral nature of the algorithm has allowed it to be used as a first step in deriving representations such as those of the Fujisaki model (Mixdorff 1999), ToBI (Maghbouleh 1999, Wightman & al. 2000) or INTSINT (Hirst & Espesser 1993, Hirst et al. 2000).

References

Hirst, Daniel & Robert Espesser 1993. Automatic modelling of fundamental frequency using a quadratic spline function. Travaux de l'Institut de Phonétique d'Aix 15, 71–85. Hirst, Daniel, Albert Di Cristo & Robert Espesser 2000. Levels of representation and levels of analysis for intonation. in M. Horne (ed) Prosody : Theory and Experiment. Kluwer Academic Publishers, Dordrecht. 51-87 Maghbouleh, A., 1998. ToBI accent type recognition. In: Proceedings ICSLP 98. Mixdorff, H., 1999. A novel approach to the fully automatic extraction of Fujisaki model parameters. In Proceedings ICASSP 1999. Wightman, C. & Campbell, N., 1995. Improved labeling of prosodic structure. IEEE Trans. on Speech and Audio Processing.

External links Momel automatic annotation can be performed by SPPAS

Worked examples

Example 1 — a first encounter with Momel

Start with the simplest possible case. Write down what Momel claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Momel before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Momel ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Momel

In research
Momel appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Momel in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Momel is common in secondary-school and first-year university syllabi. It links to neighbouring topics Phonetics, so understanding it makes those chapters shorter.
In everyday life
Look for Momel outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Momel in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Momel means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Momel out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Momel in simple terms?

Momel (Modelling melody) is an algorithm developed by Daniel Hirst and Robert Espesser at the CNRS Laboratoire Parole et Langage, Aix-en-Provence: for the analysis and synthesis of intonation patterns. Purpose The analysis of raw fundamental frequency curves for the study of intonation needs to tak…

Why does Momel matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Momel?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Momel.

Tags

  • Phonetics

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