'''Praat''' is a signal analysis software developed by [http://www.fon.hum.uva.nl/paul/ Paul Boersma] and [http://www.fon.hum.uva.nl/david/ David Weenink] from the [http://www.example.com University of Amsterdam]. It is a tool widely used for the annotation of sound objects. For the present study we have taken advantage of the fact that Praat annotation data resides in a TextGrid object that exists separately from the sound object. Using annotated tiers allows easy referencing of data across applications. At present our sound signal representations are static, and selective, that is, they focus on the presentation of one selected feature to illustrate interesting correlations across phonetic and linguistic categories. Further funding will allow us to develop an interactive representation of speech data in the near future.
'''Praat''' is a signal analysis software developed by [http://www.fon.hum.uva.nl/paul/ Paul Boersma] and [http://www.fon.hum.uva.nl/david/ David Weenink] from the [http://www.example.com University of Amsterdam]. It is a tool widely used for the annotation of sound objects. For the present study we have taken advantage of the fact that Praat annotation data resides in a TextGrid object that exists separately from the sound object. Using annotated tiers allows easy referencing of data across applications. At present our sound signal representations are static, and selective, that is, they focus on the presentation of one selected feature to illustrate interesting correlations across phonetic and linguistic categories. Further funding will allow us to develop an interactive representation of speech data in the near future.
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Below are some annotated sentences uttered by speakers of three different dialects of Norwegian, which could be used as data for many different linguists. A syntactician working on e.g. how clitics are used cross-linguistically would find some of this sentences by searching for clitics in the TypeCraft database. A phonologist interested in e.g. vowel reduction would be able to download the sentences and TextGrid files to view them in Praat and get an idea of where and how vowel reduction happens in Norwegian. A phonetician may be interested in examining e.g. Voice Onset Time in Norwegian, and would also benefit from the data. And for a linguist working with dialectology this data with morphosyntactic annotation combined with phonetic/phonological annotation would allow a thorough comparison of the dialects, in any linguistic field.
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On this pages and the pages ...... we present some of our data. A sample collection of annotated text can be found be following this link: [http://typecraft.org/TCEditor/965/ Parallel speech text annotation].
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The corresponding Praat annotations can be found on this and the following pages where we have embedded sound and TextGrid files which can be downloaded for further inspection in Praat. The data presented here allows for example the inspection of '''Cliticalization''' (syntax). '''Vowel Reduction''' (phonology) and '''Voice Onset Time''' (phonetics) in Norwegian. We reflect three Norwegian dialects which, in particular in the context of dialectology, might be of some interest, since it combines morpho-syntactic with phonetic/phonological annotation. On the basis of a larger data-set out approach to speech and text annotation will allow a comparison of dialects taking parameters from different fields of linguistics also well as phonetic annotations into account.
The pilot investigated how to integrate presentations of linguistically annotated audio and text material, combining Praat and TypeCraft.
Praat is a signal analysis software developed by Paul Boersma and David Weenink from the University of Amsterdam. It is a tool widely used for the annotation of sound objects. For the present study we have taken advantage of the fact that Praat annotation data resides in a TextGrid object that exists separately from the sound object. Using annotated tiers allows easy referencing of data across applications. At present our sound signal representations are static, and selective, that is, they focus on the presentation of one selected feature to illustrate interesting correlations across phonetic and linguistic categories. Further funding will allow us to develop an interactive representation of speech data in the near future.
On this pages and the pages ...... we present some of our data. A sample collection of annotated text can be found be following this link: Parallel speech text annotation.
The corresponding Praat annotations can be found on this and the following pages where we have embedded sound and TextGrid files which can be downloaded for further inspection in Praat. The data presented here allows for example the inspection of Cliticalization (syntax). Vowel Reduction (phonology) and Voice Onset Time (phonetics) in Norwegian. We reflect three Norwegian dialects which, in particular in the context of dialectology, might be of some interest, since it combines morpho-syntactic with phonetic/phonological annotation. On the basis of a larger data-set out approach to speech and text annotation will allow a comparison of dialects taking parameters from different fields of linguistics also well as phonetic annotations into account.
Description of the material
For our study we selected 10 sentences from the phonetic database of the Sound to Sense project.
To illustrate some of the differences between Norwegian dialects we could look at both segmental and suprasegmental phenomena that are used in dividing Norwegian language into a western and an eastern dialect group. On the segment level we can examine the pronunciation of the phoneme /r/. As can be determined by the attached sound data, the Bergen (western) speaker pronounces this as a voiced uvular fricative, while the Trondheim and X (eastern) speakers pronounces it as a voiced alveolar tap (although the segment may also appear as an approximant in rapid speech for all three speakers). In addition, the Trondheim and X speaker have an assimilation between /r/ and a following alveolar consonant: the consonant sequence surfaces as a retroflex version of the latter consonant. This is not the case for the Bergen speaker, where the two segments are preserved in the surface form.
To illustrate a suprasegmental phonomenon we can look at the pitch contour for bisyllabic words with initial stress. For these words there are two possible pitch contours in Norwegian, with either two or three tones. These two pitch contours are commonly called toneme 1 and toneme 2, respectively. In one of the sentences uttered by the Trondheim speaker we look closer at how toneme 1 and 2 are used in inflection, but here we shall briefly look at how toneme 1 is realised in the different dialects.
Above are screenshots of three words taken from the sentences and viewed in the Praat application. The blue curve in the middle of the pictures shows the fundamental frequency, or pitch, throughout the pronunciation of the word (it has gaps because unvoiced sounds do not have any pitch). Examining the pitch contour of the words we see that the Bergen speaker pronounces /pe:ker/ with an HL pitch contour, i.e. a high tone on the first syllable and a low tone on the last syllable, while the pattern is the opposite (LH) for the Trondheim (/dø:ra/) and X (/vaska/) speaker. Because of the high tone on the stressed syllable, western Norwegian dialects are often referred to as high-tone dialects and contrarily eastern Norwegian dialects as low-tone dialects. However, there are differences between dialects in the same group as well, comparing the Trondheim speaker and the X speaker we see that the former has a gradual rise from L to H, while the latter has a more abrupt rise at the end of the word.
Sentences 1 to 3
Speaker dialect: Bergen
Jeg ser bildet, kan du si, litt på skrått ned, ovenifra.
“I see the picture, say, somewhat diagonally downwards, from above.”
Hun står med ryggen mot veggen opp og ser på han som skal kaste ballen som står utenfor og peker på boksene.
“She's standing with her back up against the wall and looking at him, who is standing outside and about to throw the ball, and pointing towards the boxes.”
The TextGrid files are opened together with the matching sound files for viewing in the Praat application. The TextGrid files consist of three tiers, 'Word' (rendered in Bokmål orthography) 'Phoneme' (shows underlying segments) and 'Note' (shows surface realisation with IPA symbols, and other notes). In the phoneme tier, a hash (#) represents a word boundary and a segment inside angle brackets (<>) is an underlying segment that is syncopated or otherwise missing in the surface form.
Here is a list of glosses used in the 'Note' tier:
Phonology/Phonetics:
BrV = Segent realised with breathy voice
CrV = Segent realised with creaky voice
DV = Underlying voiced segment realised devoiced
EPN = Epenthesis
RD = Reduction of segment (e.g. corner vowel realised as schwa or plosive as fricative).
V = Underlying non-voiced segment realised voiced
Morphophonology/Syntax
CL = Clitic
Other
ERR = The speaker errs and corrects himself
HES = (Audible) hesitation from speaker
The note tier may also show an IPA symbol inside square brackets, this represents the actual realisation of the underlying segment(s).
Downloading Help
When clicking on the file links called Sound and TextGrid the files will open in a separate window in your browser.
Go to *FILE*, right click and select *Save this Page as*.
You now are able to save the file to a place of your choice in your home directory.
