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Transcripts for BBCNEWS Click 20210707 00:40:00

plays tune in minor key that s going to do a lot better than. plays happy tune in major key and so, i decided, actually, let s do this at 80 beats a minute in d minor, which is an incredibly popular key, and give it the sort of feel of a wide reaching, slightly unearthly love song. and when it came to writing your melody, i believe you had a little bit of a helping hand from the chart topper adele? i mean, kind of! she was the dataset that i trained an al on to work out where the melody should go next. jukebox ai is a programme that you can run which you can train on particular bands or artists. so adele, i think, is an incredible songwriter. why not train an al on adele and then enter the lyrics

Transcripts for BBCNEWS Click 20210703 00:39:00

well at eurovision. you want something in a minor key. that s going to do a lot better than. and so, i decided actually, let s do this at 80 beats a minute in d minor which is an incredibly popular key and give it the sort of feel of and give it the sort of feel of a wide reaching slightly unearthly love song. a wide- reaching slightly unearthly love song. and when it came to unearthly love song. and when it came to writing unearthly love song. and when it came to writing your- unearthly love song. and when | it came to writing your melody, i believe you had a little bit of a helping hand from the chart topper adele? i mean, kind of! she chart topper adele? i mean, kind of! she was chart topper adele? i mean, kind of! she was the - chart topper adele? i mean, kind of! she was the dataset that i trained and ai kind of! she was the dataset that i trained and al on to work out where the melody should go next. jukebox ai is a programme that you can run which you can train on parti

Transcripts for BBCNEWS Click 20210703 00:50:00

huxley. and. than i was introduced to huxle . , and. than i was introduced to huxle. , , and. than i was introduced to huxle. , , ~ ., huxley. huxley is the ai that was trained huxley. huxley is the ai that was trained to huxley. huxley is the ai that was trained to get huxley. huxley is the ai that was trained to get creative. l was trained to get creative. this is where it all starts. the process of making an ai the process of making an a! video involves teaching the ai how a human would think. so first of all, you ve got to really take a close look at what is going on inside a human s rain, and that can happen right here. it’s human s rain, and that can happen right here. it s med scanner. happen right here. it s med scanner, and happen right here. it s med scanner, and what - happen right here. it s med scanner, and what it - happen right here. it s med scanner, and what it does l happen right here. it s med| scanner, and what it does is happen right here. it s med i

Transcripts for BBCNEWS Click 20210703 00:48:00

not sure i am that agreeable though. not sure i am that agreeable thou~h. ., . . not sure i am that agreeable thouh. ., . ., though. you are a challenger, and i feel though. you are a challenger, and i feel bad. though. you are a challenger, and i feel bad. it though. you are a challenger, and i feel bad. it is though. you are a challenger, and i feel bad. it is my- though. you are a challenger, and i feel bad. it is my job! i and i feel bad. it is my “ob! and numberfi and i feel bad. it is my “ob! and number three and i feel bad. it is my job! and number three type - and i feel bad. it is my job! and number three type is l and i feel bad. it is my job! l and number three type is the performer. and number three type is the performer- all. performer. can t see that at all- laugtis performer. can t see that at all. laughs. performer. can t see that at all. laughs. i performer. can t see that at all. laughs. i can - performer. can t see that at all. laughs. i can see -

Transcripts for BBCNEWS Click 20210703 00:51:00

lyrics and video footage were all put into the system, leaving the ai all put into the system, leaving the al to generate its version of that, creating a collaborative process between the band and the computer. this is what it came outwith, eventually. # you can t hear a word i say. # you can t hear a word i sa . ., # you can t hear a word i sa ., ., say. so what did nick make of it? thrilled. say. so what did nick make of it? thrilled, astonished, - it? thrilled, astonished, amazed. it? thrilled, astonished, amazed, stunned - it? thrilled, astonished, amazed, stunned and i it? thrilled, astonished, - amazed, stunned and bewildered! how was it to work with an ai? i quite like collaborating with an ai, doesn t answer back as much for sure, and it doesn t ask very difficult questions. but it does come up with surprising results. ijust love the way that some of the thought processes were working. you didn t understand what on earth that was coming up with sometimes, and it became obse

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