Utterance | Utterance lets you use the platform 's native Text | Speech library

by benbahrenburg Java Version: Current License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Utterance Summary

Utterance is a Java library typically used in Artificial Intelligence, Speech applications. Utterance has no bugs, it has no vulnerabilities and it has low support. However Utterance build file is not available. You can download it from GitHub.

Utterance lets you use your device's native Text to Speech and Speech to Text capabilities in your Titanium projects.

Support

Quality

Security

License

Reuse

Support

Utterance has a low active ecosystem.

It has 71 star(s) with 30 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

Utterance has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Utterance is current.

Quality

Utterance has 0 bugs and 0 code smells.

Security

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

Utterance code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Utterance 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

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

Utterance has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Utterance saves you 295 person hours of effort in developing the same functionality from scratch.

It has 712 lines of code, 62 functions and 20 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed Utterance and discovered the below as its top functions. This is intended to give you an instant insight into Utterance implemented functionality, and help decide if they suit your requirements.

Called when a result is received
Fireognizer error event
Fire an event that has been discovered
Start speech
Parses a locale from a string
Checks if language is available
Called when a utterance is completed
Fires a listener
Install TTS data
Stop listening to speak
Stops the speaker
Whether the object is speaking
Called when an error is detected
Check TTS data
Called when an error occurs
Called when the check button is installed
Start speech recognition event
This method is called when the TextToAudio is initialized
Used to pause awareness of Android devices

Get all kandi verified functions for this library.

Utterance Key Features

No Key Features are available at this moment for Utterance.

Utterance Examples and Code Snippets

Create a tiny embedding convolution model .

python

Lines of Code : 133

License : Non-SPDX (Apache License 2.0)

Copy

def create_tiny_embedding_conv_model(fingerprint_input, model_settings,
                                     is_training):
  """Builds a convolutional model aimed at microcontrollers.

  Devices like DSPs and microcontrollers can have very small amou

Create a tiny convolution model .

python

Lines of Code : 90

License : Non-SPDX (Apache License 2.0)

Copy

def create_tiny_conv_model(fingerprint_input, model_settings, is_training):
  """Builds a convolutional model aimed at microcontrollers.

  Devices like DSPs and microcontrollers can have very small amounts of
  memory and limited processing power. T

Community Discussions

Trending Discussions on Utterance

How to update view from callback inside of custom delegate class?

Insert a few columns and rows from one dataframe into another dataframe with many more columns and rows

Detecting missing single parentheses in the presence of potentially missing double parentheses

R Function for Return New Column to Dataset

Summarize grouped character data with true NA in dplyr

Conditionally count and discount members of multiple groups

Count number of utterances by same speakers but discount number of in-between pauses

How to split data into train and test while stratifying on labels and preventing the same entity from appearing both?

Filter dataframe on sequence of rows conditional on two columns

Find last-gazed-at person in Q-A sequences

QUESTION

How to update view from callback inside of custom delegate class?

Asked 2022-Apr-03 at 12:15

I am working on a Christian app, all is going well, except for 1 thing: I can't solve how to get the label to update its text after my AVSpeechSynthesizer has finished speaking.

For example, after the prayer has finished being read, the text should update to "Play" again. It does this correctly in all other known scenarios (Pause works, Resume works, stop works, restart works, etc. as in the label updates accordingly).

Please see my code here:

...

ANSWER

Answered 2022-Apr-03 at 12:15

Multiple issues with your code.

You are initializing GlobalVarsModel twice. Once in the View and once in the delegate. So changes in one won´t reflect in the other.
You are implementing the delegate in a subclass of your AVSpeechSynthesizer therefor it is capsulated in it and you can´t update your View when an event arises.

I changed the implementation to address this issues:

Source https://stackoverflow.com/questions/71715901

QUESTION

Insert a few columns and rows from one dataframe into another dataframe with many more columns and rows

Asked 2022-Mar-25 at 18:27

I have one very large dataframe (with more than 50 columns and many thousands of rows), a snippet of which is given in df1, and one very small dataframe with very few columns and rows, df2, which contains corrected data for df1:

Large:

...

ANSWER

Answered 2022-Mar-25 at 18:10

Respect for the complicated data you work with. Let me answer this with a somewhat simpler example. Consider these data frames d1 and d2:

Source https://stackoverflow.com/questions/71613995

QUESTION

Detecting missing single parentheses in the presence of potentially missing double parentheses

Asked 2022-Feb-05 at 08:40

I have partly faulty transcriptions, which I want to clean-up:

...

ANSWER

Answered 2022-Feb-04 at 14:23

If I understand this correctly, you want to completely exclude Utterance strings with double brackets? If yes, I think this solves your problem

Source https://stackoverflow.com/questions/70987235

QUESTION

R Function for Return New Column to Dataset

Asked 2022-Jan-26 at 15:06

I'm currently working with a dataset with different speakers and am trying to extract the amount of words in a utterance. I am also trying to count the number of backchannels (utterances with three or less words). These metrics would be used for further analysis of the dataset. Please see a slice of the data below.

...

ANSWER

Answered 2022-Jan-26 at 15:06

This should solve your problems:

Source https://stackoverflow.com/questions/70865319

QUESTION

Summarize grouped character data with true NA in dplyr

Asked 2022-Jan-11 at 10:24

I have speech data with utterances by same-speaker that I want to collapse:

...

ANSWER

Answered 2022-Jan-11 at 10:02

I think the issue you got is due to the way str_c is implemented, which intentionally result NA in case there is one NA in the input. If you repelace str_c with paste you would got the same result without the need to convert NA to character.

Your code

Source https://stackoverflow.com/questions/70664421

QUESTION

Conditionally count and discount members of multiple groups

Asked 2022-Jan-10 at 18:00

In this data:

...

ANSWER

Answered 2022-Jan-10 at 18:00

Subset the column values, use rleid and then get the n_distinct on that

Source https://stackoverflow.com/questions/70655642

QUESTION

Count number of utterances by same speakers but discount number of in-between pauses

Asked 2022-Jan-02 at 15:10

In this data of Speakers and their Utterances:

...

ANSWER

Answered 2022-Jan-02 at 15:10

We could flag all string in parenthesis with the regex '\\(([^\\)]+)\\)' in the column Utterance and then sum.

Source https://stackoverflow.com/questions/70556976

QUESTION

How to split data into train and test while stratifying on labels and preventing the same entity from appearing both?

Asked 2021-Dec-29 at 06:53

I have a dataset like a graph below. I want to split it to train and test stratified on labels. At the same time, I don't want the same player to appear both.

For example, when I split it train:test=1:1.

player utterances label Bob ... 1 John ... 1 Mary ... 0 Kethy ... 1 Jack ... 1 John ... 0 John ... 1 Mary ... 1

→

train(label 0 : label 1 = 1 : 3)

player utterances label Bob ... 1 John ... 1 John ... 0 John ... 1

→

test(label 0 : label 1 = 1 : 3)

player utterances label Mary ... 0 Mary ... 1 Kethy ... 1 Jack ... 1 ...

ANSWER

Answered 2021-Dec-26 at 09:39

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split

grouped = df.groupby('player')    
l=[grouped.get_group(x) for x in grouped.groups] # I have split dataframe via groupby

train,test =  train_test_split(l,test_size=0.5)
while len(pd.concat(train)) != len(pd.concat(test)):
    train,test =  train_test_split(l,test_size=0.5) # I've split it so that each contains an equal number of elements.

train = pd.concat(train)
test = pd.concat(test)

Source https://stackoverflow.com/questions/70484991

QUESTION

Filter dataframe on sequence of rows conditional on two columns

Asked 2021-Dec-25 at 16:26

I have this type of data, where the numerical values in column Sequ define a sequence of rows and the character value in Q names the type of sequence:

...

ANSWER

Answered 2021-Dec-25 at 10:36

Using ave to replace by "Sequ" with first respective Q, finally subset.

Source https://stackoverflow.com/questions/70479183

QUESTION

Find last-gazed-at person in Q-A sequences

Asked 2021-Dec-25 at 11:39

I have data on gaze behavior during Question and Answer sequences; gazes are recorded for each speaker A, B, and C in columns A_aoi, B_aoi, and C_aoi, gaze durations are recorded in columns A_aoi_dur, B_aoi_dur, and C_aoi_dur:

...

ANSWER

Answered 2021-Dec-25 at 11:39

Here is a try. I do not have any experience with 'gazes' etc...

It took me some time and some help (see here Conditionally take value from column1 if the column1 name == first(value) from column2 BY GROUP thanks to @tmfmnk.

I hope this potpourri of code may help. I left the code as it is because of sake of readability. I am sure one can fine tune it. Main parts of what I tried to do is in the blocks.

Source https://stackoverflow.com/questions/70472910

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Utterance

Download the platform you wish to use:.
iOS Dist
Android Dist
Install from gitTio
Download the latest release from the releases folder ( or you can build it yourself )
Install the Utterance module. If you need help here is a "How To" guide.
You can now use the module via the commonJS require method, example shown below.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: