speech_commands | Control the robot with spoken commands | Robotics library

by UbiquityRobotics HTML Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | speech_commands Summary

speech_commands is a HTML library typically used in Automation, Robotics, Arduino applications. speech_commands has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Control the robot with spoken commands

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Quality

Security

License

Reuse

Support

speech_commands has a low active ecosystem.

It has 22 star(s) with 5 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 8 have been closed. On average issues are closed in 258 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speech_commands is current.

Quality

speech_commands has 0 bugs and 0 code smells.

Security

speech_commands has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

speech_commands code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

speech_commands does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

speech_commands releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 13854 lines of code, 0 functions and 37 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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speech_commands Key Features

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speech_commands Examples and Code Snippets

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Community Discussions

Trending Discussions on speech_commands

Different model on speech recognition

How does the tflite model "conv_actions_tflite" , provided by speech command recognition android demo has been converted?

Bazel build behind proxy

Tensorflow train.py cannot be found

calculate stft(Short-time Fourier transform) in tensor flow audio recognition

Tensorflow Simple Audio Recognition Error on Freeze.py

Tensorflow Dataset .map() API

Error running tensorflow test_streaming_accuracy.cc

QUESTION

Different model on speech recognition

Asked 2020-Feb-04 at 06:23

I have tried so much time to run this example project https://github.com/tensorflow/examples/tree/master/lite/examples/speech_commands/ml and finally produced this tflite model https://imgur.com/bVpesdd using convert_keras_lite.py inside export direcory.However, i checked the tflite model inside assets directory in this android project https://github.com/tensorflow/examples/tree/master/lite/examples/speech_commands/android. I found that the tflite model is different with the first one. https://imgur.com/7Cn69qx.

I tried to replace the tflite model inside assets android directory to the first tflite model, but the app suddenly crashed with this error code in Android Studio logcat:

...

ANSWER

Answered 2020-Jan-15 at 01:01

Okay I did not solve the problem yet but I think I discovered some things that may help:

Firstly, there is other code for a speech command example that is in the TensorFlow repo itself (not the dedicated example repo): https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/speech_commands

It does not use keras like the one you are using and has no information about tflite conversion, so I guess that example was created before tflite was around. After looking at the architecture of the (conv) model that was used there, I found out that it is the same architecture as the prepackaged tflite model in the android project and it matches the second imgur link you posted.

So it pretty much looks like the tflite model in the android project is a conversion of the model in the old example. And the model that results from https://github.com/tensorflow/examples/tree/master/lite/examples/speech_commands/ml is not compatible with the android code at all, since the inputs are different.

And that is not surprising since the android code is pretty much copy paste from the old examples android code with a few tweaks for tflite usage.

So I guess the best take is to work on the old ml code and convert the resulting frozen pb graph to tflite.

Update

I did it!!! Here's how it works:

Download the frozen graph from here.
Run the following in python

Source https://stackoverflow.com/questions/59443695

QUESTION

How does the tflite model "conv_actions_tflite" , provided by speech command recognition android demo has been converted?

Asked 2020-Jan-15 at 01:03

I used lite Converter to convert my model of pb format to tflite format in terminal but it didn't work well.

But when I used the tflite model provided by speech command android demo, it works pretty well. So I want to know how this model was converted?

https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/audio_recognition.md

Using the above link i trained the model with the below command

(base) unizen@admin:~/tensorflow/tensorflow/examples/speech_commands$ python train.py

When the model is saved after the training, I have created frozen model using the below code

...

ANSWER

Answered 2020-Jan-15 at 01:03

This

Source https://stackoverflow.com/questions/58516634

QUESTION

Bazel build behind proxy

Asked 2019-Jul-04 at 10:20

I would like to follow tensorflow example to build generate_streaming_test_wav to generate test wav. And my bazel version is 0.16.1.

The problem is when I use command bazel run tensorflow/examples/speech_commands:generate_streaming_test_wav, the following error message shown up:

...

ANSWER

Answered 2018-Sep-17 at 08:47

This might be a bug in Bazel's repository rules. If you'd be so kind to file a bug, that'd be great!

As a workaround, extract the downloaded archive somewhere and replace the io_bazel_rules_closure rule in the WORKSPACE file with a local_repository rule pointing to the directory where you extracted the archive.

Source https://stackoverflow.com/questions/52311486

QUESTION

Tensorflow train.py cannot be found

Asked 2018-Dec-27 at 19:27

I'm trying to follow this tutorial

I have Tensorflow installed (I've done it with Pip, Conda, and Docker, all saying it was successful). When I try to execute

python tensorflow/examples/speech_commands/train.py it always says that "python: can't open file 'tensorflow/examples/speech_commands/train.py': [Errno 2] No such file or directory". I searched my Mac for train.py and see one instance located at /Users/me/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/gan/python. I cd to that directory and try to do docker run -it --rm tensorflow/tensorflow \python train.py but it still says the same thing ([Errno 2] No such file or directory".

I'm guessing it's some sort of installation issue, but I don't know how to fix it. I've literally tried every way I can find to install Tensorflow and none of them seem to work so I'm reaching out here for guidance.

...

ANSWER

Answered 2018-Dec-27 at 19:27

Have you synced the TensorFlow repository? The tutorial starts with "To begin the training process, go to the TensorFlow source tree" so the implied assumption is that you have in fact got the source.

If you have synced the repo it is in fact in there if you have not you will need to do this:

Source https://stackoverflow.com/questions/53948783

QUESTION

calculate stft(Short-time Fourier transform) in tensor flow audio recognition

Asked 2018-Oct-16 at 21:53

I have a hard time running this piece of example code here to convert the audio signal into stfts. I am using label_wave.py and editing the "run graph" function.

...

ANSWER

Answered 2018-Oct-16 at 21:53

Performing tf.cast(data, tf.float32) isn't working. So i converted numpy array from float64 to float32 first and then reshaped the data.

Source https://stackoverflow.com/questions/52832028

QUESTION

Tensorflow Simple Audio Recognition Error on Freeze.py

Asked 2018-Aug-24 at 13:39

I've been following the tutorials on how to make a Simple Audio Recognition.

First I encountered an error when I entered

...

ANSWER

Answered 2018-Aug-24 at 13:39

Its working, all i had to do was to run the command line in the TensorFlow source like this

Source https://stackoverflow.com/questions/51940600

QUESTION

Tensorflow Dataset .map() API

Asked 2018-Mar-14 at 14:13

Couple of questions about this

For occasions when I'd like to do something like the following in Tensorflow (assume I'm creating training examples by loading WAV files):

...

ANSWER

Answered 2018-Mar-14 at 14:12

When you use Dataset.map(map_func), TensorFlow defines a subgraph for all the ops created in the function map_func, and arranges to execute it efficiently in the same session as the rest of your graph. There is almost never any need to create a tf.Graph or tf.Session inside map_func: if your parsing function is made up of TensorFlow ops, these ops can be embedded directly in the graph that defines the input pipeline.

The modified version of the code using tf.data would look like this:

Source https://stackoverflow.com/questions/49270477

QUESTION

Error running tensorflow test_streaming_accuracy.cc

Asked 2017-Dec-15 at 18:21

to run test_streaming_accuracy.cc , I ran the following command:

...

ANSWER

Answered 2017-Dec-15 at 18:21

In order to pass arguments to the binary under bazel run, you'll need to include an additional -- before your args, or else Bazel will parse those as arguments for itself.

e.g. bazel run //my/binary:target --verbose_failures -- --arg_for_binary_target=42

Source https://stackoverflow.com/questions/47827062

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Vulnerabilities

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Install speech_commands

You can download it from GitHub.

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