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У меня была такая же ошибка при создании проекта, но я не был за прокси, и, следовательно, вышеупомянутые решения не работали для меня.
Я нашел этот форум . Он предложил:
- Удалить или переименовать каталог .m2 из вашего каталога HOME
In Windows - C:\Users\
ИЛИ
In Linux - /home/
- перезапустите набор инструментов пружины Eclipse / STS (который я использую)
Это сработало!
2 ответа
There are some audio fingerprinting technologies out there, (mostly proprietary), which essentially `hashes' an audio file. Then searching is an easy hashtable or database lookup.
Musicbrainz has a good run-down of the various technologies Here
Whether or not these fingerprints are suitable or accurate for your particular situation, I couldn't tell you.
I'm not sure whether you are trying to identify the speaker based on the input or to match the input with the names in the database. However: I used to have this idea to develop a metric to calculate a 'distance' of two spoken words. I never got even close of an implementation, but I figured out the following:
1) You need to define the significant features of the audio. This is the 'hashing' part Nick described in his answer. Even a spectrogram may contain too much information to be useful. An approach I found potentially interesting (without having any theoretical knowledge about speech research) was MFCC (i.e mel frequency cepstral coefficients). There is free code at etsi.org (look for speech regocnition and standards).
2) Speed of speech can vary which complicates things. Dynamic time warping can be used to tackle this. See this Matlab-code for an example.
I don't think this would be very easy to implement, and it would need much tuning. And it's definitely not state of the art.