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Long and short Icelandic vowels
Check the About tab for more info about the project.
Assessed and Annotated Vowel Lengths in Spoken Icelandic Sentences for L1 and L2 Speakers: A Resource for Pronunciation Training
About
This annotated data and its demo application accompany the paper Assessed and Annotated Vowel Lengths in Spoken Icelandic Sentences for L1 and L2 Speakers: A Resource for Pronunciation Training, Caitlin Laura Richter, Kolbrún Friðriksdóttir, Kormákur Logi Bergsson, Erik Anders Maher, Ragnheiður María Benediktsdóttir, Jon Gudnason - NoDaLiDa/Baltic-HLT 2025, Tallinn, Estonia.
Demo: Viewing the data
Use the menus to choose words, speaker group, and data source. Words are split into related groups and either the whole group or a single word can be selected. Available speaker groups are native Icelandic speakers (L1), second-language speakers (L2), or all. Data source options are gold (human) annotations or automated Montreal Forced Aligner (MFA).
The display is a scatter plot of vowel and consonant durations, supplemented with density plots for each dimension separately.
The general expectation is that, all else being equal, syllables with long stressed vowels followed by short consonants have a higher vowel:(vowel+consonant) duration ratio, while syllables with short stressed vowels followed by long consonants have a lower ratio.
Many other factors also affect relative durations in any particular recorded token, and these factors have considerable - not necessarily balanced - variation throughout this dataset. This demo is provided to begin exploring the data and suggest hypotheses for follow-up. See Pind 1999, 'Speech segment durations and quantity in Icelandic' (J. Acoustical Society of America, 106(2)) for a review of the acoustics of Icelandic vowel duration.
Audio is available from Clarin (Samrómur). The 'collection' field plus recording filename in the annotations metadata specify the original audio file, including which Samrómur collection it is found in.
Annotation records are in the following scheme:
[ { recording: source-file-id.wav,
collection: samromur-collection,
speaker_lang: L1/L2,
word: target-word,
word_context: {
normalised: normalised-carrier-sentence-text,
before: sentence-context-preceding-token,
after: sentence-context-following-token
},
gold_annotation: {
target_word_start: seconds,
target_word_end: seconds,
prevowel: [ {
phone: ipa-character,
start: seconds,
end: seconds,
},
{ phone2 ... } ,
],
vowel: [ {
phone: ipa-character,
start: seconds,
end: seconds,
},
],
postvowel: [ {
phone: ipa-character,
start: seconds,
end: seconds,
},
]
},
mfa_annotation : {
... as for gold ...
}
},
]