[Corpora-List] International Phonetic Alphabet transcription tool / software

[Matías Guzmán]

Wouldn't that be even harder to do? Spectrograms are not very clear, and
reading them from scratch (without the sound) is a very difficult task,
even for a human.


2013/3/6 WHITELOCK, Pete <pete.whitelock at oup.com>

> Isn’t everyone missing the point here. It’s not about ASR; Mario asked
> about automatic analysis of spectrograms, a problem in visual pattern
> extraction.****
>
> ** **
>
> Pete Whitelock, PhD
> Principal Language Engineer, Technology****
>
> Academic Dictionaries
> Oxford University Press****
>
> ** **
>
> *From:* corpora-bounces at uib.no [mailto:corpora-bounces at uib.no] *On Behalf
> Of *Jim Fidelholtz
> *Sent:* 06 March 2013 15:18
> *To:* Matías Guzmán
> *Cc:* Mario Crespo Miguel; corpora-request at uib.no; corpora at uib.no
> *Subject:* Re: [Corpora-List] International Phonetic Alphabet
> transcription tool / software****
>
> ** **
>
> Hi, Mario,****
>
> ** **
>
> My advice is to take Matías' comments very seriously. Over 40 years ago, I
> was involved with the US government group which funded most American
> research in speech recognition. Many very bright researchers were involved
> in this research. Unfortunately, despite the fact that even then (about
> 1970 and just earlier) there were 'effective' systems trainable on small
> vocabularies (eg, numbers 0-9 for the Post Office) and individual speakers,
> the field was populated by many charlatans/snake-oil salesman types, and
> believe me, I use those terms advisedly. Currently, although I am very
> aware of the multiple orders of magnitude increases in computer speed,
> capacity and general gee-whiz factor, I am still not convinced of the
> general applicability of such systems, and of course even less convinced of
> any linguistic interest in such systems, even for general phone answering,
> etc., and of course (unfortunately) much less for applications like what
> you are asking about. ****
>
> ** **
>
> The usual disclaimers apply, and you are unlikely to encounter anyone
> quite as negative as I am about speech recognition, and I'm sure the field
> still contains many brilliant, ethical researchers, and I have not been
> following publications in the field in recent decades. Nevertheless, I
> stand by my opinions, based on well-informed experience, even though it was
> decades ago. Example: my current experience with automatic
> speech-recognition systems is that, more often than not, I end up being
> transferred to a human operator, and I speak Midwestern American English,
> which should be relatively easy for these systems to recognize, from a
> linguistically-informed standpoint. Sorry to be so negative, but I'd bet
> lots of money that you won't be successful in finding anything which would
> be very satisfying, even if you have program-tweaking powers. I would say
> that if you have lowered expectations and an extremely liberal attitude,
> you *might* find something which could give you some minimum help in your
> research. Perhaps it would be better to be (or use/hire) an experienced
> dialectologist, design very intelligent experiments which could get useful
> results from minimal recordings, and do your own transcriptions. I know
> that's a tall order. Good luck.****
>
> ** **
>
> Jim****
>
> ** **
>
> On Wed, Mar 6, 2013 at 8:45 AM, Matías Guzmán <mortem.dei at gmail.com>
> wrote:****
>
> Mario, I doubt there is anything that can do what you want. As I
> understand it, speech recognition systems depend to a great degree of a
> language model that predicts what word could come next, and then try to
> match what the speaker said to a database. I don't see how a program could
> transcribe for you if the /t/ is dental or alveolar, I don't even think
> speech recognition software do a decent job working on single syllables.
> But I'm not an expert, maybe someone can correct me.****
>
> ** **
>
> Regards, Matías****
>
> ** **
>
> 2013/3/6 Mario Crespo Miguel <mario.crespo at uca.es>****
>
> Dear members of corporalist, ****
>
> In the research of phonetic dialectology it is extremely important to be
> able to differentiate between the different sounds pronounced by the
> subjects being studied and be able to transcribe them according to
> linguistic criteria. This task can be extremely exhausting and subjective
> for the researcher when carried out without any help. ****
>
> I wonder if you know a tool or software able to represent and analyze
> spectrograms of sounds pronounced and transcribe such sounds into the
> International Phonetic Alphabet (IPA). ****
>
> Thank you very much in advance, ****
>
> Mario Crespo****
>
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> --
> James L. Fidelholtz
> Posgrado en Ciencias del Lenguaje
> Instituto de Ciencias Sociales y Humanidades
> Benemérita Universidad Autónoma de Puebla, MÉXICO ****
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