Re: [Trans-devel] Looking for new features in Transcriber 1.5.1

[Ivan V. <iv...@gm...>]

Thank you very much Nick, but we must work with Transcriber 1.5.1, no
choice. Is possible for a developer to get the same feature in Transcriber
1.5.1?. Thank you.

On Thu, Nov 13, 2014 at 3:33 PM, Nick Thieberger <th...@un...>
wrote:

> Elan has a silence recogniser and also can be linked to WebMAUS to do
> forced alignment of text and audio.
>
> http://tla.mpi.nl/tools/tla-tools/elan/download/
>
> On 13 November 2014 14:26, Ivan Vanney <iv...@gm...> wrote:
>
>> Hi Claude, thank you very much for your answer. I understand,I dont
>> expect automatic audio processing,but automatic help,for example, if a
>> transcriber cuts the segment while there is voice, instead in a silence
>> period, cutting part of the voice, is not possible to get the program to
>> move the segment some milimeters automatically, leaving the separation in a
>> silence period rather than while speakers are talking?.
>> I dont mean to recognize the words, just to help making the transcription
>> better, by detecting sound and silence, or two different channels of
>> voice.Are you one of Transcriber 1.5.1 developers?
>> Thank you again,regards.
>>
>>
>>
>>
>> On Fri, Nov 7, 2014 at 11:08 AM, Claude Barras <Cla...@li...>
>> wrote:
>>
>>> Le 06/11/2014 17:25, Ivan Vanney a écrit :
>>>
>>>> Hi dear, im new in this list. I work for a company which uses
>>>> Transcriber 1.5.1 for transcription. We use specific rules like for
>>>> example, we dont transcribe overlapping but apply a [tag] instead, but 100%
>>>> of accuracy is impossible with human transcribers and sometimes a
>>>> transcribers doesnt apply the tag and instead transcribes.
>>>> Is there a way the program may recognize when there are two noises or
>>>> voices automatically?, we would hire a developer to carry this out.
>>>> Thank you,kindest regards.
>>>>
>>>>  Hi,
>>>
>>> Transcriber wasn't designed for performing automatic audio processing,
>>> but instead to help human annotation (in order to develop automatic
>>> analysis systems using statistical machine learning) - however nothing
>>> prevents from using an automatic pre-processing and feed it as initial
>>> annotation.
>>>
>>> Concerning overlapping speech or noises, it is an interesting but quite
>>> difficult problem, especially if you can't rely on multiple microphones for
>>> beamforming and source separation. It is far from a solved research problem
>>> even if some solution do exists - look eg. at
>>> http://bass-db.gforge.inria.fr/fasst/ . I doubt that currently an
>>> automatic detection would perform better than a human one, but it may help
>>> focusing on some sections: I am interested if ever you have a feedback on
>>> that!
>>>
>>> Best regards,
>>>   Claude Barras
>>>
>>>
>>
>>
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