wavenet | Chainer implementation of Deepmind 's WaveNet | Machine Learning library
kandi X-RAY | wavenet Summary
kandi X-RAY | wavenet Summary
This is the Chainer implementation of WaveNet.
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Top functions reviewed by kandi - BETA
- Forward computation
- Forward the residual block
- Compute the residual block
- Forward the causal block
- Performs forward computation
- Forward softmax block
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wavenet Examples and Code Snippets
Community Discussions
Trending Discussions on wavenet
QUESTION
we are experiencing problems with API authentication of our project in asp-net core 3.1. Specifically we have integrated the text-to-speech service provided by Google. Locally everything works correctly, but this does not happen when the web-app is online.
...ANSWER
Answered 2022-Mar-16 at 17:52Assuming you want to use the same service account for both Speech and Storage, you need to specify the credentials for the text-to-speech client. Options:
- Set the
GOOGLE_APPLICATION_DEFAULT_CREDENTIALSenvironment variable to refer to the JSON file. Ideally, do that as part of deployment configuration rather than in your code, but you can set the environment variable in your code if you want to. At that point, you can remove any explicit loading/setting of the credential for the Storage client. - Specify the
CredentialPathinTextToSpeechClientBuilder:
QUESTION
I am using the package @google-cloud/text-to-speech in order to convert text to speech, using roughly this code:
ANSWER
Answered 2021-Dec-08 at 00:22Max suggested contacting Google support or searching in Google cloud forums
QUESTION
How to write this in dart with the http package the -F takes the file not the file path.
...ANSWER
Answered 2021-Dec-06 at 18:09var headers = {
'Authorization': 'Bearer [Access_Token]'
};
var request = http.MultipartRequest('PUT', Uri.parse('https://api.groupdocs.cloud/v1.0/parser/storage/file'));
request.files.add(await http.MultipartFile.fromPath('file', '/Users/bholendraofficial/Desktop/BHOLENDRA SINGH RESUME.pdf'));
request.headers.addAll(headers);
http.StreamedResponse response = await request.send();
if (response.statusCode == 200) {
print(await response.stream.bytesToString());
}
else {
print(response.reasonPhrase);
}
QUESTION
I was trying to run a WaveNet, which is specified in https://github.com/mjpyeon/wavenet-classifier/blob/master/WaveNetClassifier.py.
Part of my code is as follows:
...ANSWER
Answered 2021-Nov-18 at 09:07Your data is a missing dimension. A Conv1D layer requires the input shape (timesteps, features). You seem to only have the timesteps or features. So maybe try something like this:
QUESTION
I am trying to create a text to speech audio file using Google texttospeech Wavenet voices.
At the same time I want the device speakers to output the speech.
In other words, as the mp3 file is being generated the device should output the audio. I've tried various combinations of effectsProfileId in audioConfig but nothing seems to work
The following code creates an mp3 file. But there's no audio output. Everything works fine except there is no sound from the device speakers as the mp3 file is being generated.
...ANSWER
Answered 2021-Oct-25 at 14:46It is not possible to do real-time conversion using the Cloud Text-to-Speech API. Because it gives a playable audio file as an output. However, you can play the converted audio file once it gets downloaded after the execution of code. I have tested your non-real-time requirement in Linux by altering your code, and I was able to read and play the converted audio file. Before executing the code, please install the below packages first:
- Install the Audacious package by executing the below command in the terminal.
QUESTION
I am new to Google Cloud's Text-to-speech. The docs show the tag with rate and pitch attributes. But these do not make a difference in my requests. For example, if I use rate="slow" or rate="fast", or pitch="+2st" or pitch="-2st", the result is the same and different from the example on the docs, which has a slower rate and lower tone.
I ensured the latest version with:
...ANSWER
Answered 2021-Aug-12 at 12:42According to this document, when you are writing a SSML script inside Text-to-Speech code, the format for the SSML script should be like :
QUESTION
I am using the Google TextToSpeech API in Node.js to generate speech from text. I was able to get an output file with the same name as the text that is generated for the speech. However, I need to tweak this a bit. I wish I could generate multiple files at the same time. The point is that I have, for example, 5 words (or sentences) to generate, e.g. cat, dog, house, sky, sun. I would like to generate them each to a separate file: cat.wav, dog.wav, etc.
I also want the application to be able to read these words from the * .txt file (each word/sentence on a separate line of the * .txt file).
Is there such a possibility? Below I am pasting the * .js file code and the * .json file code that I am using.
*.js
...ANSWER
Answered 2021-Apr-27 at 16:58Here ya go - I haven't tested it, but this should show how to read a text file, split into each line, then run tts over it with a set concurrency. It uses the p-any and filenamify npm packages which you'll need to add to your project. Note that google may have API throttling or rate limits that I didn't take into account here - may consider using p-throttle library if that's a concern.
QUESTION
I am making use of the Google TTS API and would like to use timepoints in order to show words of a sentence at the right time. (like subtitles). Unfortunately, I can not get this to work.
HTTP request
...ANSWER
Answered 2021-May-07 at 01:25For you to get timepoints, you just need to add on your input. Here is an example using your request body.
Request body:
QUESTION
my json is as given below. i need to convert it into c# class. Please note all values will be different in actual scenario.
...ANSWER
Answered 2021-Apr-26 at 14:34The initial property is almost certainly meant to be a dictionary key, so I would go with something like this:
QUESTION
Dear Stack,
I'm being charged on google cloud for using wavenet, despite the fact that the code im using is not using wavenet "i think", if I'm using wavenet, is there a way to disable it?
Here is my code:
...ANSWER
Answered 2020-Sep-29 at 12:41According to pricing page you was charged for WaveNet voice (minus free quota 1 million, 0.2673*16 = 4.28). WaveNet sound was set automatically since the “name” parameter in “VoiceSelectionParams” was empty. You need to specify a “name” parameter otherwise “the service will choose a voice based on the other parameters such as language_code and gender.” Voice names you can find here in column “Voice name”.
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You can use wavenet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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