
14:06
https://github.com/Briggs599/audio_data_DolbyIO

14:31
https://github.com/Briggs599/audio_data_DolbyIO

15:41
Thanks for introducing 548 style!

20:37
And for putting the adds that you mentioned β¦

20:45
is that a common format for transcribed audio?

21:44
Maybe they did freestyle rap β¦

24:12
could you zoom it slightly?

24:34
Hello Tom, would you specify the format your are referring in your question, please?

25:48
can you show code

25:55
Code was a little small

25:56
nice!

27:31
What is the rough cost in time and money for Azure to transcribe an hour-long podcast?

28:32
Sorry, I joined a bit late. Can someone please post the location of the notebooks?

28:41
sarcasm is GONE.

28:44
Hereβs the notebook on screen now if you want to see code: https://github.com/Briggs599/audio_data_DolbyIO/blob/main/analysis.ipynb

28:45
https://github.com/Briggs599/audio_data_DolbyIO

32:08
Could you simply extract unique identifiers that correspond to real life object and correlate with frequence of mentions on Twitter - then you would know if the episode was on popular subject

35:01
Thank you!

36:30
https://github.com/tyiannak/pyAudioAnalysis

42:52
It would make sense line it up with transcribed text so the energy is on per-sentence basis - you could analyze how specific words are stressed perhaps?

47:39
Nice visual! What is the name of this type of plot?

51:56
Found it! chord diagram

56:48
Did it identify the different speakers, or was that part of the meta data?

58:39
would be interesting to run it on comedian doing imporessions

59:02
Tom, I like the way you think ;-)

59:14
likewise ;-)

01:01:13
Overlapping tracks ...

01:02:05
I would be curious how those packages are tested

01:05:02
Speaker cliques as a function of time is pretty cool to visualise !

01:06:02
ferris bueller...

01:07:14
train people to be better public speakers

01:09:00
https://go.dolby.io/pydata-2021

01:09:24
Braden's link

01:10:03
https://go.dolby.io/pydata-2021

01:15:49
Just one project idea?

01:25:40
Or sneezing!

01:25:44
:-)

01:26:07
can you do foreign languages?

01:29:49
In transcribing - how is punctuation inserted?

01:30:26
For example how does it recognize question?

01:31:09
punctuation is inserted vs punctuation is inserted?

01:33:18
GREAT talk - thank you **3

01:33:23
great talk, thanks!

01:33:37
Thanks! Great material and delivery. Keep it up!

01:33:52
π

01:34:08
great presentation! ππ‘

01:34:14
π

01:35:02
https://github.com/Briggs599/audio_data_DolbyIO

01:35:30
https://github.com/DolbyIO/awesome-audio