Intensity, Loudness, and Timbre

[@germanboza]

These videos are too good to be free. I feel like I should be paying for them. Thanks a lot for sharing your knowledge!

[@Drew_7]

Haha I feel the same lol. Good stuff!

[@araaudio]

Leonardo Da Venci said " Simplicity is the ultimate sophistication". wonderful complex subject, easy to understand with your explanation, You are amazing prof.

[@ValerioVelardoTheSoundofAI]

Thank you Ara!

[@pseudounknow5559]

0 dislike it's because you are underrated. Your content is gold and you are the king.

[@rijanbhandari2735]

Omg love it, it is really engaging and I got so much understanding of sound, intensity, loudness, timbre etc etc.

[@jasminewilson-p7k]

I was trying to understand the aspects related to perceptual attributes of sound when i found your videos. I should say that you are a true teacher and good communicator. I have tried many videos but yours is the best. I am able to understand the basics of sound now.

[@sandeshdevadiga2853]

Your work in under rated. I am here just to tell you that is world class.

[@sandeshdevadiga2853]

All the videos in series infact.

[@ValerioVelardoTheSoundofAI]

@@sandeshdevadiga2853 thank you :)

[@nmirza2013]

Your grasp of basic concepts is next to none. I am a data scientist and am working in Voice AI. I am so glad that you have done this series.

[@uditech7736]

I was able to understand some concepts which have been unclear for me over the ages, in this single video. Thank you for the simple explanation which opens the door for me to understand more complex concepts...

[@sai-du6qg]

Awesome. Thanks for putting a lot of efforts and time to explain

[@gvcallen]

Really awesome stuff! Just a note that ADC means analog-to-digital conversion, and the inverse for DAC. Thanks so much for the awesome content!

[@domingoomilis9113]

These videos are really informative. Helps us doing our thesis regarding voice signal processing as a computer science student. Thank you so much.

[@tonsorawatthelonely5753]

Thank you !. ... A very nice explanation, easy to understand and a good demonstration via Python examples.

[@KirtiDhruv]

Now I know why our teacher used to catch us quite easily (much to our surprise) even when we were whispering ever so gently in the classroom.....coz its like 100 times the threashold of hearing!!!

[@ValerioVelardoTheSoundofAI]

Ahahaha... nice anecdote :)

[@DreamWalker886]

You are my teacher, you are awesome, I have learned so much from you!!!

[@ValerioVelardoTheSoundofAI]

Thanks!

[@baybisbald4004]

you changed my life

[@ValerioVelardoTheSoundofAI]

I hope for the better :D

[@averrows]

You really are a good teacher!

[@ValerioVelardoTheSoundofAI]

Thanks!

[@hmthanh]

Awesome. Thank so much. Clearly explain of many concept which I concern for many time ago

[@nitinbadhe192]

Thank you Valerio for this fantastic series of videos explaining sound/audio basics which will help in understanding audio features.

[@nitinshukla6751]

You are an absolute legend . Why didn't i discover this channel before? KZbin recommends cat stuck in a pipe and not this (Sarcastic pun intended at my own browsing history)?

[@ValerioVelardoTheSoundofAI]

Thank you :)

[@davidmartingutierrez952]

Many thanks for sharing all this knowldge with enthusiasctics as myself in this field!!!

[@patriciadegner7519]

Your content is so good, thank you for these videos!

[@ValerioVelardoTheSoundofAI]

Glad you like the videos Patricia!

[@AttiDavidson]

Thank you very much, Valerio. You work is marvelous!

[@ValerioVelardoTheSoundofAI]

Thank you!

[@matthiasduquoc1113]

Thanks for your videos, it is really cool to understand those things so easily

[@quinxx12]

12:10 that graph actually surprises me. What I always hear is that bass frequencies are less dangerous for your hearing because they appear louder relative to the energy that is behind the sound. But this graph actually shows the opposite. Here it looks like you need to crank up the pressure for bass to get it to the same level as the rest. But does it really mean that then there is also more energy in that wave which can cause hearing damage?

[@mitchellsullivan1110]

I have a few questions: Concerning the sound envelope, it is clear to me that the striking of a piano key (the striking of the strings by hammers) would produce a sudden and strong increase in amplitude, and that strong attack is characteristic of the piano, which I assume would be partly why its considered a percussive instrument. So the mechanism of producing the sound aligns with the attack portion of the envelope. The violin is not struck, so it wouldnt have the same sudden attack as the piano. My question is if the quality of the attack part of the envelope can be derived from the mechanism of producing the sound (hitting, plucking, bowing, etc.), how might the other parts of the anatomy of the envelope (decay, sustain, and release) be derived? In other words, I can see why the attacks are different in each instrument, but what is the reason why the sustain portion (or decay or release) of the envelope is so different? Concerning complex sound: why do sounds split up into partials at all? When the sound splits into partials, the partials are at simple ratios to the fundamental. That is a very interesting coincidence, but Im not sure why it would "choose" simple ratios. Why is it a law instead of just a coincidence? Why do they predominantly split into partials of simple ratios instead of being a random assortment of random ratios at random intensities every time? I would assume it has something to do with constructive and destructive interference, where wave frequencies that are close to one another will overlap at regular intervals and boost each other, whereas wave frequencies with complex, high, or prime ratios will die out because they collide and cancel each other out. Is this correct? Is there more to it? This basis for harmony is enjoyable for us to hear probably because we evolved to be great pattern identifiers. identifying patterns helps us recognize important information and differentiate it from useless information, helps us organize different categories for different information that goes together, and be able to have a response to a category of information instead of needing to come up with a unique response for every single piece of new information we gather with our senses. Thats just and observation, its how we distinguish music from noise--patterns. Im not sure why this would help us with music though. Being able to identify the visual pattern of a lion in tall grass would be very useful for survival, or identifying the sound of particular animals, but I don't know if being able to identify simple harmonic ratios would help us directly in any way. Maybe it was a side effect--we evolved some pattern identification and which applied in many ways to all our senses. Those who didnt pattern seek at all died, and those who did, also seeked patterns in harmonics even if it wasnt beneficial for survival. There's some other interesting answers in a video called "Why do humans like jazz? (evolution of music, entropy, and physics of neurons)" I found. Why is vibrato or frequency modulation practiced? What benefit does it provide? If it makes the sound "better" why does it?

[@jamcdonald120]

5:45 a ration is a type of food designed to be long lasting and portable, generally used in military or exploration contexts only

[@tyhuffman5447]

Thanks very much for the education on timbre, very well explained.

[@ValerioVelardoTheSoundofAI]

Thank you Ty!

[@xagent6327]

Love this !!!

[@vasylcf]

Thank you for so clear explanation.

[@ValerioVelardoTheSoundofAI]

You're welcome!

[@codecomedytv1998]

Excited for next lesson

[@tetlleyplus]

So, to make sure I got it, the spectrogram is the signal's wavelet analysis, right?

[@mizhibridge-to-knowledge7502]

Thanks ....nice presentation

[@ivang2490]

Its an amazing stuff !!! I enjoy very much your content. I work as Data Engineer, I study ML/IA intermittently and I love jam and experiment with electronic music, mainly using hardware, but software is welcome. I have many ideas to explore with audio and midi, so i enjoy every second from your videos. Thanks and best regards.

[@ValerioVelardoTheSoundofAI]

Glad I can help Ivan!

[@jeroenvermunt3372]

I can say the same, very inspiring!

[@avidreader100]

Looks like librosa needs files with sr of 22050 or less sampling rates. Even when I gave the actual sr value of file used (44100) as a parameter, I repeatedly got error. Finally I used audacity to modify the file and then everything worked. (I used different violin, piano, and tremolo samples picked from freesound)

[@rickyhan7023]

Awesome lesson. Thanks

[@raghvendra87]

Loved it, thanks a lot!

[@vimukthirandika872]

Awesome❤❤❤

[@AnkitKumar-dg4hs]

I am having some query how can I contact you? Help would be much appreciated

[@nitreall]

Could you please share what kind of instruments are required to measure these concepts? Thank you

[@qingyuliu1176]

Good Video!

[@santhosh20071993]

Nice Content

[@mohamedshihan1541]

how can i identify a musical note frequency and store it on a np array

[@Bigman74066]

Really good!

[@notallama1868]

The low sound power of thunder and an orchestra actually makes sense if you think about it. Sure, they're "loud", but aside from that they don't really _do_ anything significant to the world around them. If you didn't hear the sound, you wouldn't even know it existed.

[@juniorsilva5713]

Awesome! =)

[@chacmool2581]

16:10 Trumpet vs. Violin playing the same note. You say the frequency is the same, but it's not. A spectrogram will quickly reveal that the frequency spectrum (harmonics, resonances, etc.) and that's timbre, is it not?

[@abhishek-shrm]

Great video.

[@ValerioVelardoTheSoundofAI]

Thanks!

[@Rishi-nv7bp]

great video! when's the next one?

[@ValerioVelardoTheSoundofAI]

Thank you! It's just out ;) I tend to publish twice per week (Mon/Thu).

[@ibrahimabarry8839]

hi thank you very much for the videos, you really help us. I would like to know if it is possible to convert a file from m4a format to wav format, and how?

[@ValerioVelardoTheSoundofAI]

You can use ffmpeg.

[@ibrahimabarry8839]

@@ValerioVelardoTheSoundofAI thanks @Valerio

[@hoang_minh_thanh]

Thanks

[@pvlr]

Interestingly you've showed a modern led strip light bulb, which is much less than 100W :)

[@felipe_marra]

very interesting

[@bassman9261995]

If anyone out there likes signal modulation, try doing modulation faster than 20Hz for some crazy effects

[@memelofi4470]

Any links?

[@bassman9261995]

@@memelofi4470 no but you do get a weird phantom tone at whatever speed you set the modulation

[@memelofi4470]

@@bassman9261995 ah ty

[@heddshot87]

27:20 can i get a encore

[@Vipinkumarsiriah]

What is the SI unit of intensity ?

[@Vipinkumarsiriah]

Watt per square meter

[@evrenbingol7785]

So I think I wanna try to play the training of an NN.

[@ValerioVelardoTheSoundofAI]

Nice!

[@lucatraverso]

I enjoy your videos, they helped me learn a lot. But when you are speaking about equal-loudness contours I feel you are mixing sound pressure level and intensity! Those are related but two different concepts.

[@ddivydwivedi]

Hey! Your videos have been very helpful, thanks for that. Also, can you make a discord channel similar to the slack channel that you have, it will be great then! Thanks!

[@ValerioVelardoTheSoundofAI]

Thanks! I prefer to manage only the Slack channel for now.

[@wavefarmwgxctechnical3692]

I have never heard of a watt being used to measure sound power outside of amplification. I know watts as a measurement of electrical power and I am adjusted to decibels for sound pressure measurement. Can you point me in a direction where I can read more about watts as a unit of loudness? Thanks.

[@manuelr7121]

dude make a course on udemy or something !!!! seriously i would pay so much to learn this stuff music machine learning audio enginearing !!

[@ValerioVelardoTheSoundofAI]

Thank you! I'm launching The Sound of AI Academy, with that idea in mind. You can check it out here - I've already published an initial course called Advanced Python Programming. I'm announcing it in the coming week(s) the-sound-of-ai-academy.teachable.com/

[@heddshot87]

thanks for the video timbre is pronounced tamber :)

[@terjeoseberg990]

Pianos have foot pedals that allow you to mess with the frequency of the notes.

[@bruniwalter4685]

T❤L

[@cshorler]

I thought you glossed over vibrato a bit too quickly, perhaps it'll be expanded upon in later videos (phase function design). really good explanations other than that. I answered my immediate question by looking at this: kzbin.info/www/bejne/i5SvhYytm6mYl7c

[@Ruhgtfo]

Wroof

[@VishnuPtSingh]

if i want to master this field what should i do @ValerioVelardoTheSoundofAI sir!!! ?