Drunk Bavarian Corpus

I was amused by ELRA‘s release of:

Bavarian Archive for Speech Signals’ Alcohol Language Corpus

The description says “ALC contains recordings of speakers that are either intoxicated or sober.” Is there a third kind of person?

I assume they’re serious, becuase none of the posts are dated April 1.

The price is 1000 euros give or take plus VAT; ELRA jitters their prices, so the real price is 1020 euros plus VAT, though you might see if they’ll take 1019.99.

There’s even a sample labeled recording, headset, intoxicated

Here’s the README, including ASCII art logo.

Or you can read the paper:

Schiel, F., Heinrich, Chr., Barfüßer, S., Gilg, Th. (2008). ALC – Alcohol Language Corpus. In: Proc. of LREC 2008, Marrakesch, Marokko.

What’s next, the Drunk American College Student Corpus from LDC?

This entry was posted on April 24, 2009 at 11:52 am and is filed under Carp's Blog. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

5 Responses to “Drunk Bavarian Corpus”

Ken Says:
April 24, 2009 at 4:43 pm | Reply
Would be more fun to make your own.
Brendan O'Connor Says:
April 24, 2009 at 10:11 pm | Reply
I bet higher BAC correlates to higher language model likelihoods: simpler language is easier to predict.
- lingpipe Says:
  April 25, 2009 at 12:41 pm | Reply
  Ah, but more clearly articulated language is easier to understand bottom-up, and with HMM-type speech recognizers, it’s all about the p(words|acoustics) being proportional to p(words) * p(acoustics|words). That is, a mix of the top-down predictions in the form of a language model p(words), and bottom-up predictions in the form of an acoustic model p(acoustics|words).
  
  Perhaps the real point is that the acoustic models, even the fairly large Gaussian mixture models for p(acoustics|words), are closely fitted to their acoustic environments and population of speakers.
  
  To make the task really challenging, they’d have done the recordings in a Biergarten.
woo Says:
April 26, 2009 at 6:12 am | Reply
This is relevant for forensic speaker recognition applications. For previous studies on this topic, see for example

Künzel, HJ; Braun, A; Eysholdt, U (1992) “Einfluss von Alkohol auf Sprache und Stimme” (Influence of alcohol on language and voice). Kriminalistik Verlag

In the forensic context it’s important to know to what extent common forensic phonetic parameters differ with respect to normal un-influenced speech.
Jochen L. Leidner Says:
May 1, 2009 at 1:12 am | Reply
Incidentally the Bavarian speech archive BAS that curated this corpus is just around the corner from a wonderful Munich beer garden…

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