Octave Activation Key |LINK|

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On a saxophone, the octave key is positioned next to the left-hand thumb rest. Pressing the octave key opens the top tone hole in the neck of the saxophone. Alternatively, whenever the G key is fingered, the top tone hole closes and a small tone hole is opened near the top of the body.

The modern oboe has two octave keys, sometimes three, often interconnected, the one for E5 to G#5 near the left thumb, and the one for A5 to C6 to the right of and above the front keys, depressed by the edge of the left index finger. Oboes are now available with automatic octaves. This involves extra keywork that frees the player from having to bother with an octave key at all. The bassoon has similar keys used by the left thumb, but these are usually only depressed at the attack of notes, or "flicked".

When called with no extra input arguments, it returns the Octave license,otherwise the first input defines the operation mode and must be one ofthe following strings: inuse, test, and checkout.The optional feature argument can either be "octave" (core),or an Octave package.

This is the third part in my series on Deep Learning from first principles in Python, R and Octave. In the first part Deep Learning from first principles in Python, R and Octave-Part 1, I implemented logistic regression as a 2 layer neural network. The 2nd part Deep Learning from first principles in Python, R and Octave-Part 2, dealt with the implementation of 3 layer Neural Networks with 1 hidden layer to perform classification tasks, where the 2 classes cannot be separated by a linear boundary. In this third part, I implement a multi-layer, Deep Learning (DL) network of arbitrary depth (any number of hidden layers) and arbitrary height (any number of activation units in each hidden layer). The implementations of these Deep Learning networks, in all the 3 parts, are based on vectorized versions in Python, R and Octave. The implementation in the 3rd part is for a L-layer Deep Netwwork, but without any regularization, early stopping, momentum or learning rate adaptation techniques. However even the barebones multi-layer DL, is a handful and has enough hyperparameters to fine-tune and adjust.

While testing with different hyper-parameters namely i) the number of hidden layers, ii) the number of activation units in each layer, iii) the activation function and iv) the number iterations, I found the L-layer Deep Learning Network to be very sensitive to these hyper-parameters. It is not easy to tune the parameters. Adding more hidden layers, or more units per layer, does not help and mostly results in gradient descent getting stuck in some local minima. It does take a fair amount of trial and error and very close observation on how the DL network performs for logical changes. We then can zero in on the most the optimal solution. Feel free to download/fork my code from Github DeepLearning-Part 3 and play around with the hyper-parameters for your own problems.

The number of elements between the first and the last element are the number of hidden layers and the magnitude of each is the number of activation units in each hidden layer, which is specified while actually executing the Deep Learning network using the function L_Layer_DeepModel(), in all the implementations Python, R and Octave

The code below uses the Tanh activation in the hidden layers for Octave# Read the datadata=csvread("data.csv");X=data(:,1:2);Y=data(:,3);# Set layer dimensionslayersDimensions = [2 9 7 1] #tanh=-0.5(ok), #relu=0.1 best!# Execute Deep Network[weights biases costs]=L_Layer_DeepModel(X', Y', layersDimensions,hiddenActivationFunc='tanh',learningRate = 0.1,numIterations = 10000);plotCostVsIterations(10000,costs);plotDecisionBoundary(data,weights, biases,hiddenActivationFunc="tanh")

I will be continuing this series with more hyper-parameters to handle vanishing and exploding gradients, early stopping and regularization in the weeks to come. I also intend to add some more activation functions to this basic Multi-Layer Network.Hang around, there are more exciting things to come.

Hi All I have bought a new sterling alto sax, I have had problems with this sax since the first day, the octave key was not functioning and I got it repaired (bent) then i got it back and found it wasn't fixed at all, I find that the third key (G) when played will not allow the octave key to respond as the first two keys do, hence any key below the G as well.Does anyone have any idea on this and how it can be fixed?There are no technicians in my local town and although I am willing to try fix it myself I am no way a techie, all keys work and sound fine if I do not use the octave register.I have even thought of just selling it cheap because I cannot stand the frustration of having a sax constantly break down please help!

The neck octave key only opens for notes A and higher of the upper register. Once you press the key for G or any note below while holding the octave key, the neck octave key closes and a second body octave key opens. This body octave key is about 2-1/2" above your thumb (that is pressing the octave touch) and about 1" to the right.Why 2 octave keys? Because if you just had the octave key on the neck, the upper register notes below A would not be in tune.

Hi & thanks for the reply MIJERF, in the first week of owning this sax the octave neck key was fully functional through all keys and then it stoped, so can't figure that one, and everywhere I have searched on the internet you tube etc, shows the neck octave should function through all keys?Thanks Avid

The body octave key should be open only for high G,F,E,D and the sharps and flats in between. The neck octave key should be open for all upper register notes high A and above. When you finger the high A, the neck octave is open and the body octave key is closed. When you then press the key to play a high G, the G key is attached to a pivot rod that rotates, and opens the body octave key and closes the neck octave key. If your horn isn't working like this it needs repair. Good luck with your horn.

Here are links to basically the same description of how the 2 octave keys operate. Link 1 -octave-key-adjustment/Here is a second link: -a-saxophone-repairman-why-your-middle-d-plays-too-soft-and-what-to-do-about-it/On this link scroll just short of 1/2 way down on page one to a section called (Whew..half way there) and start reading.

Saxophone octave key issues are most commonly caused by how the saxophone neck is handled when assembling the instrument. The octave key stretches over the top of the saxophone neck, and it can easily be bent out of shape if you squeeze the neck too hard. This is going to cause the octave key not to work properly. Octave key issues are a particularly common problem on newer Chinese saxophones.

The key lifter has basically got two different functions. Firstly, with no keys pressed, the lifter should sit behind the octave key but not touching it. As you press down just the octave key with your right thumb, the lifter should firstly move about a millimeter to touch the neck octave mechanism. Then as you continue to press the octave key, the lifter should move further and lift the neck octave mechanism so it is clear of the pad on the top of your neck that we first identified.

You have several options to rectify this, but I think the easiest one would be to activate the python virtual environment first, and run your octave instance from within that environment. This then inherits all environmental variables as they existed when octave was run. You can confirm this by doing getenv( 'VIRTUAL_ENV' ).

As a review, octave registers are the special 12-note patterns that makes up the piano keyboard. In the previous lesson, we introduced a naming system for musical notes. The point of this system is so that we can tell a C in the lowest octave register (C1) apart from a C in the sixth octave register (C6), for example.

All the notes on the keyboard can be divided into 7 octave registers (plus a few extra keys on either end). In order to get familiar with each register, we just need to know 2 simple things about each of them:

This is a simple but very effective way to think about octave registers. Each note belongs to its own area that we can picture in our heads, and we can also get a sense of how high or low in pitch it will sound even before we actually hear it.

So for example, on a typical 49 key synthesizer, the lowest key would usually be C2, the highest is C6. Octaves 1, 6, and 7 are completely missing. So that leaves us with four octave registers, Octaves 2, 3, 4, and 5, the most used registers on the piano. And C4, middle C, is still pretty close to being smack in the middle of the keyboard, as in the picture below:

Having octave buttons eliminates the need for a huge space-hogging keyboard with all 88 keys, yet we can still reach all of the keys when we need them. And without octave buttons, 25-key keyboards would be pretty useless!

Note entry with the keyboard: In the very first capella versions, notation one octave higher could be done with both shift keys. For several years, however, you have now been able to choose via Extras-Options...-Note Entry:

I use my laptop keyboard as my midi controller and its been working great, if I add another usb/bluetooth computer keyboard to my rig would it be possible for each to control a different octave or area of the MIDI range? (e.g. built in laptop keyboard is set to control octave c-1 up to c3 and the external usb/bluetooth computer keyboard controls c4 up to c8)

The Basic license is available after activation. If you are connected to the internet, ObserVIEW will autofill the free access code. If you are not connected to the internet, instructions for offline activation will be sent via email.

Acoustic measurement allows engineers to assess the sound related to a device under test, predict acoustic environments, and address design problems. However, this measurement does not contain frequency information, making it unsuitable for comparing sound and vibration. To address such, vibration test engineers use a frequency analysis technique called octave analysis. 2b1af7f3a8