Hi, Karen. If I may ask, would you be so good as to send us the names of the applications, even Windows applications, that can change speech in a WAV file to text for summits? I'm after something that will work to a reasonable level of accuracy without getting the speaker/sound producer to train the application. There are quite a few programs which will do well when the speaker trains them, speaks directly into a microphone, and minimizes background noise. Alternatively, there are a ton of packages which will do well with a limited vocabulary of, for example, specific commands. What would be wonderful is something that can, without human correction of each file, attain reasonable accuracy so that a reader can understand what is produced, and can do this without requiring the speaker to train the application. That is, I'm after something which is not specific to the speaker or to a small vocabulary. I believe this is what Donna wants, as well. I have experimented with Dragon and Via Voice, when that last was being produced, and have had very poor results without training and only acceptable results with training. Aman
On 7/17/13, Karen Lewellen <[email protected]> wrote: > Perhaps I am not understanding the goal here. still there are many > windows programs that will take, say the audio from an .wav file and > convert > that information into text. > In fact the process is very common for telesummits. > I am guessing though that your desire is something else entirely? > Karen > > On Wed, 17 Jul 2013, Donna Goodin wrote: > >> Hi Esther, >> >> That's interesting, I've never heard about it before. I imagine you're >> right that the logistics of creating software that could reliably convert >> speech to text without training, would just be impractical. >> Cheers, >> Donna >> On Jul 17, 2013, at 4:31 PM, Esther <[email protected]> wrote: >> >>> Hi Donna and Aman, >>> >>> I think it's not that what you're looking for doesn't exist, but that >>> there aren't commercially available solutions. Back in 2005-2006, >>> shortly after the original MacVisionaries list got started, there was a >>> podcast search engine named PodZinger, later renamed EveryZing. I think >>> it must have been running a version of the continuous speech recognition >>> system that the company responsible for this effort, BBN, started >>> developing about a decade earlier. At that time the number of broadcast >>> podcasts was much smaller than now. The PodZinger search engine let you >>> type in a phrase or set of keywords, and then it would pull up a match to >>> identified podcasts, and even estimate the time the phrase occurred >>> within the podcast. It was sort of like doing a Google search for >>> podcast audio content, and pretty impressive. You had to type in enough >>> words in the search term to identify the context, because just like a >>> Google search you'd get a short section of matched content, but you >>> didn't have to really type more than you would for a Google search. I >>> think this service was only around for a couple of years. >>> >>> Probably this was an outgrowth of Department of Defense funded research. >>> You ca probably do a web search to read more details. I don't know of >>> anything like that exisiting commercially, and you'd probably need to >>> have a huge training set (like the database of Siri users with different >>> accents and speech patterns) to train the software. >>> >>> HTH. Cheers, >>> >>> Esther >>> >>> >>> On Wednesday, July 17, 2013 1:51:34 AM UTC-10, Donna wrote: >>>> Hi, Aman, >>>> >>>> >>>> >>>> Unfortunately, it was the latter. I kind of didn't think that there was >>>> anything that could do this, but I figured if it was out there, someone >>>> on this list would know about it. >>>> >>>> >>>> >>>> thank you for responding, if nothing else, it's good to be sure that >>>> what I was looking for doesn't exist. >>>> >>>> Cheers, >>>> >>>> Donna >>>> >>>> On Jul 16, 2013, at 2:47 PM, Aman Singer wrote: >>>> >>>> >>>> >>>>> Hi, Donna. >>>> >>>>> If I may ask, what sort of speech are you looking to convert? That is, >>>> >>>>> are you looking to convert speech from a speaker over which you have >>>> >>>>> control, or recorded speech from a person who is willing to read >>>> >>>>> training text? Alternatively, are you looking to convert speech that >>>> >>>>> is, for example, broadcast, recorded from a speaker who will not train >>>> >>>>> the software, or some other speaker over which you don't have any >>>> >>>>> control? The first is fairly simple. If you can have the speaker >>>> >>>>> record his/her/its training speech on to a digital recorder, there are >>>> >>>>> programs which you can train using that recorded speech and they will >>>> >>>>> then recognise that particular speaker's recorded voice fairly well. >>>> >>>>> If, however, you're after the second, for example, transcribing a >>>> >>>>> broadcast recording, I know of nothing that will produce an acceptable >>>> >>>>> transcription without human input. If you find such a thing, however, >>>> >>>>> I, along with quite a few other people, would be overjoyed, this, >>>> >>>>> particularly in real-time, would be a godsend to those of us with bad >>>> >>>>> hearing. If you find anything like this, then, please let the list >>>> >>>>> know. >>>> >>>>> Aman >>>> >>>>> >>>> >>>>> >>>> >>>>> On 7/16/13, Donna Goodin wrote: >>>> >>>>>> Hello all, >>>> >>>>>> >>>> >>>>>> Does anyone know of any software that will take speech, not dictation >>>>>> but >>>> >>>>>> recorded speech, and converted to text? It could either be mobile >>>>>> software >>>> >>>>>> or software for the Mac. >>>> >>>>>> Thanks, >>>> >>>>>> Donna >>>> >>>>>> >>>> >>> >>> -- >>> You received this message because you are subscribed to the Google Groups >>> "MacVisionaries" group. >>> To unsubscribe from this group and stop receiving emails from it, send an >>> email to [email protected]. >>> To post to this group, send email to [email protected]. >>> Visit this group at http://groups.google.com/group/macvisionaries. >>> For more options, visit https://groups.google.com/groups/opt_out. >>> >>> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "MacVisionaries" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> To post to this group, send email to [email protected]. >> Visit this group at http://groups.google.com/group/macvisionaries. >> For more options, visit https://groups.google.com/groups/opt_out. >> >> >> > > -- > You received this message because you are subscribed to the Google Groups > "MacVisionaries" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at http://groups.google.com/group/macvisionaries. > For more options, visit https://groups.google.com/groups/opt_out. > > > -- You received this message because you are subscribed to the Google Groups "MacVisionaries" group. 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