OpenSpeech | Source Toolkit for End-to-End Speech Recognition | Speech library
kandi X-RAY | OpenSpeech Summary
kandi X-RAY | OpenSpeech Summary
OpenSpeech is a framework for making end-to-end speech recognizers. End-to-end (E2E) automatic speech recognition (ASR) is an emerging paradigm in the field of neural network-based speech recognition that offers multiple benefits. Traditional “hybrid” ASR systems, which are comprised of an acoustic model, language model, and pronunciation model, require separate training of these components, each of which can be complex. For example, training of an acoustic model is a multi-stage process of model training and time alignment between the speech acoustic feature sequence and output label sequence. In contrast, E2E ASR is a single integrated approach with a much simpler training pipeline with models that operate at low audio frame rates. This reduces the training time, decoding time, and allows joint optimization with downstream processing such as natural language understanding. Because of these advantages, many end-to-end speech recognition related open sources have emerged. But, Many of them are based on basic PyTorch or Tensorflow, it is very difficult to use various functions such as mixed-precision, multi-node training, and TPU training etc. However, with frameworks such as PyTorch-Lighting, these features can be easily used. So we have created a speech recognition framework that introduced PyTorch-Lightning and Hydra for easy use of these advanced features.
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Top functions reviewed by kandi - BETA
- Performs the forward computation
- Return a list of the predicted sentences
- Takes a sequence of y_hats
- Calculate successor
- Perform the forward computation
- Expand the encoder_outputs
- Compute joint op
- Forward computation
- Validate arguments
- Generate the character labels for each transcript
- Logs information about a dictionary
- Run a test step
- Parse configs
- Read a preprocessed text file
- Load a Korean dataset
- Compute logits
- Get the output dimension
- Generate character script
- Logs information about the given dictionary
- Generate manifest files
- Create a learning rate monitor
- Perform the forward step
- Perform a single step
- Greedy decoding
- Compute embedding
- Generate Openpeech configuration
- Compute the prediction
OpenSpeech Key Features
OpenSpeech Examples and Code Snippets
Community Discussions
Trending Discussions on Speech
QUESTION
I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,
currently, I have the right image
...ANSWER
Answered 2022-Mar-16 at 08:10If your image has a latest
tag, the Pod's ImagePullPolicy
will be automatically set to Always
. Each time the pod is created, Kubernetes tries to pull the newest image.
Try not tagging the image as latest
or manually setting the Pod's ImagePullPolicy
to Never
.
If you're using static manifest to create a Pod, the setting will be like the following:
QUESTION
I have been trying out an open-sourced personal AI assistant script. The script works fine but I want to create an executable so that I can gift the executable to one of my friends. However, when I try to create the executable using the auto-py-to-exe, it states the below error:
...ANSWER
Answered 2021-Nov-05 at 02:2042681 INFO: PyInstaller: 4.6
42690 INFO: Python: 3.10.0
QUESTION
I'm pulling my hairs here. I have a Google Assistant application that I build with Jovo 4 and Google Actions Builder.
The goal is to create a HelpScene, which shows some options that explain the possibilities/features of the app on selection. This is the response I return from my Webhook. (This is Jovo code, but doesn't matter as this returns a JSON when the Assistant calls the webhook.)
...ANSWER
Answered 2022-Feb-23 at 15:32Okay, after days of searching, I finally figured it out.
It did have something to do with the Jovo framework/setup and/or the scene
parameter in the native response.
This is my component, in which I redirect new users to the HelpScene. This scene should show multiple cards in a list/collection/whatever on which the user can tap to receive more information about the application's features.
QUESTION
I want to convert text to speech from a document where multiple languages are included. When I am trying to do the following code, I fetch problems to record each language clearly. How can I save such type mixer text-audio clearly?
...ANSWER
Answered 2022-Jan-29 at 07:05It's not enough to use just text to speech, since it can work with one language only.
To solve this problem we need to detect language for each part of the sentence.
Then run it through text to speech and append it to our final spoken sentence.
It would be ideal to use some neural network (there are plenty) to do this categorization for You.
Just for a sake of proof of concept I used googletrans
to detect language for each part of the sentences and gtts
to make a mp3 file from it.
It's not bullet proof, especially with arabic text. googletrans
somehow detect different language code, which is not recognized by gtts
. For that reason we have to use code_table to pick proper language code that works with gtts.
Here is working example:
QUESTION
My current data-frame is:
...ANSWER
Answered 2022-Jan-06 at 12:13try
QUESTION
I'm trying to use Web Speech API to read text on my web page. But I found that some of the SAPI5 voices installed in my Windows 10 would not show up in the output of speechSynthesis.getVoices()
, including the Microsoft Eva Mobile
on Windows 10 "unlock"ed by importing a registry file. These voices could work fine in local TTS programs like Balabolka
but they just don't show in the browser. Are there any specific rules by which the browser chooses whether to list the voices or not?
ANSWER
Answered 2021-Dec-31 at 08:19OK, I found out what was wrong. I was using Microsoft Edge and it seems that Edge only shows some of Microsoft voices. If I use Firefox, the other installed voices will also show up. So it was Edge's fault.
QUESTION
I am trying to write an object detection + text-to-speech code to detect objects and produce a voice output on the raspberry pi 4. However, as of right now, I am trying to write a simple python script that incorporates both elements into a single .py file and preferably as a function. I will then run this script on the raspberry pi. I want to give credit to Murtaza's Workshop "Object Detection OpenCV Python | Easy and Fast (2020)" and https://pypi.org/project/pyttsx3/ for the Text to speech documentation for pyttsx3. I have attached the code below. I have tried running the program and I always keep getting errors with the Text to speech code (commented lines 33-36 for reference). I believe it is some looping error but I just can't seem to get the program to run continuously. For instance, if I run the code without the TTS part, it works fine. Otherwise, it runs for perhaps 3-5 seconds and suddenly stops. I am a beginner but highly passionate in computer vision, and any help is appreciated!
...ANSWER
Answered 2021-Dec-28 at 16:46I installed pyttsx3 using the two commands in the terminal on the Raspberry Pi:
- sudo apt update && sudo apt install espeak ffmpeg libespeak1
- pip install pyttsx3
I followed the video youtube.com/watch?v=AWhDDl-7Iis&ab_channel=AiPhile to install pyttsx3. My functional code should also be listed above. My question should be resolved but hopefully useful to anyone looking to write a similar program. I have made minor tweaks to my code.
QUESTION
In my scrapy code I'm trying to yield the following figures from parliament's website where all the members of parliament (MPs) are listed. Opening the links for each MP, I'm making parallel requests to get the figures I'm trying to count. I'm intending to yield each three figures below in the company of the name and the party of the MP
Here are the figures I'm trying to scrape
- How many bill proposals that each MP has their signature on
- How many question proposals that each MP has their signature on
- How many times that each MP spoke on the parliament
In order to count and yield out how many bills has each member of parliament has their signature on, I'm trying to write a scraper on the members of parliament which works with 3 layers:
- Starting with the link where all MPs are listed
- From (1) accessing the individual page of each MP where the three information defined above is displayed
- 3a) Requesting the page with bill proposals and counting the number of them by len function 3b) Requesting the page with question proposals and counting the number of them by len function 3c) Requesting the page with speeches and counting the number of them by len function
What I want: I want to yield the inquiries of 3a,3b,3c with the name and the party of the MP in the same raw
Problem 1) When I get an output to csv it only creates fields of speech count, name, part. It doesn't show me the fields of bill proposals and question proposals
Problem 2) There are two empty values for each MP, which I guess corresponds to the values I described above at Problem1
Problem 3) What is the better way of restructuring my code to output the three values in the same line, rather than printing each MP three times for each value that I'm scraping
ANSWER
Answered 2021-Dec-18 at 06:26This is happening because you are yielding dicts instead of item objects, so spider engine will not have a guide of fields you want to have as default.
In order to make the csv output fields bill_prop_count
and res_prop_count
, you should make the following changes in your code:
1 - Create a base item object with all desirable fields - you can create this in the items.py
file of your scrapy project:
QUESTION
I've upgraded my Ruby version from 2.5.x to 2.6.x (and uninstalled the 2.5.x version). And now Puma server stops working when instantiating a client of Google Cloud Text-to-Speech:
...ANSWER
Answered 2021-Dec-07 at 08:52Try reinstalling ruby-debug
QUESTION
I need to extract the text from between parentheses if a keyword is inside the parentheses.
So if I have a string that looks like this:
('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')
And my keyword is "LOC", I just want to extract ('Latin America', 'LOC')
, not the others.
Help is appreciated!!
This is a sample of my data set, a csv file:
...ANSWER
Answered 2021-Nov-13 at 22:41You can use
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install OpenSpeech
This project recommends Python 3.7 or higher. We recommend creating a new virtual environment for this project (using virtual env or conda).
You can install OpenSpeech with pypi.
Currently we only support installation from source code using setuptools. Checkout the source code and run the following commands:.
For faster training install NVIDIA's apex library:.
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