Segment 5-7 min audio into sentence wise audio clips for creating speech recognition dataset The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsDataset for Named Entity Recognition on Informal TextSentiment Analysis: Creating dictionary from datasetInput and output feature shapes in CNN for speech recognitionDoes the input data representation matter while training CNN for speech recognition?Creating a dataset for benchmarking of timeseries preprocessing capabilitiesPattern recognition in 2D datasetAudio Analysis : Segment audio based on speaker recognitionWhat is a good method for detection of rare occurencies of speech in noisy audio data?looking for databases of audio with labelled 'true' and 'deceptive' sectionsWhere should we release our video dataset for activity recognition?
Make it rain characters
What is special about square numbers here?
Can the prologue be the backstory of your main character?
Single author papers against my advisor's will?
Can undead you have reanimated wait inside a portable hole?
how can a perfect fourth interval be considered either consonant or dissonant?
Relations between two reciprocal partial derivatives?
system() function string length limit
How to grep and cut numbers from a file and sum them
Do working physicists consider Newtonian mechanics to be "falsified"?
What was the last x86 CPU that did not have the x87 floating-point unit built in?
What are these Gizmos at Izaña Atmospheric Research Center in Spain?
Who or what is the being for whom Being is a question for Heidegger?
How does this infinite series simplify to an integral?
Didn't get enough time to take a Coding Test - what to do now?
How should I replace vector<uint8_t>::const_iterator in an API?
Are spiders unable to hurt humans, especially very small spiders?
How to test the equality of two Pearson correlation coefficients computed from the same sample?
Does the AirPods case need to be around while listening via an iOS Device?
How are presidential pardons supposed to be used?
The variadic template constructor of my class cannot modify my class members, why is that so?
Semisimplicity of the category of coherent sheaves?
Take groceries in checked luggage
What information about me do stores get via my credit card?
Segment 5-7 min audio into sentence wise audio clips for creating speech recognition dataset
The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsDataset for Named Entity Recognition on Informal TextSentiment Analysis: Creating dictionary from datasetInput and output feature shapes in CNN for speech recognitionDoes the input data representation matter while training CNN for speech recognition?Creating a dataset for benchmarking of timeseries preprocessing capabilitiesPattern recognition in 2D datasetAudio Analysis : Segment audio based on speaker recognitionWhat is a good method for detection of rare occurencies of speech in noisy audio data?looking for databases of audio with labelled 'true' and 'deceptive' sectionsWhere should we release our video dataset for activity recognition?
$begingroup$
I am trying to create a speech recognition dataset especially for Indian Accents.
I am taking from colleagues to build this.
Daily i send a article link and ask them to record and upload to google drive.
I have a problem with this approach.
All audio recordings of length 5 -7 min.
I am using DeepSpeech model for this and it requires 10 sec audio sentences .
Suggest me any approach if possible to segment audio files into corresponding sentence phrases or to build a better with 5 min length audio files.
Suggestions are more than welcome on better way to create a speech to text dataset.
I apologize in advance if this stack overflow is inappropriate for this question.
dataset audio-recognition speech-to-text
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
$endgroup$
add a comment |
$begingroup$
I am trying to create a speech recognition dataset especially for Indian Accents.
I am taking from colleagues to build this.
Daily i send a article link and ask them to record and upload to google drive.
I have a problem with this approach.
All audio recordings of length 5 -7 min.
I am using DeepSpeech model for this and it requires 10 sec audio sentences .
Suggest me any approach if possible to segment audio files into corresponding sentence phrases or to build a better with 5 min length audio files.
Suggestions are more than welcome on better way to create a speech to text dataset.
I apologize in advance if this stack overflow is inappropriate for this question.
dataset audio-recognition speech-to-text
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
$endgroup$
add a comment |
$begingroup$
I am trying to create a speech recognition dataset especially for Indian Accents.
I am taking from colleagues to build this.
Daily i send a article link and ask them to record and upload to google drive.
I have a problem with this approach.
All audio recordings of length 5 -7 min.
I am using DeepSpeech model for this and it requires 10 sec audio sentences .
Suggest me any approach if possible to segment audio files into corresponding sentence phrases or to build a better with 5 min length audio files.
Suggestions are more than welcome on better way to create a speech to text dataset.
I apologize in advance if this stack overflow is inappropriate for this question.
dataset audio-recognition speech-to-text
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
$endgroup$
I am trying to create a speech recognition dataset especially for Indian Accents.
I am taking from colleagues to build this.
Daily i send a article link and ask them to record and upload to google drive.
I have a problem with this approach.
All audio recordings of length 5 -7 min.
I am using DeepSpeech model for this and it requires 10 sec audio sentences .
Suggest me any approach if possible to segment audio files into corresponding sentence phrases or to build a better with 5 min length audio files.
Suggestions are more than welcome on better way to create a speech to text dataset.
I apologize in advance if this stack overflow is inappropriate for this question.
dataset audio-recognition speech-to-text
dataset audio-recognition speech-to-text
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
edited Apr 1 at 8:43
Papasani Mohansrinivas
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
asked Mar 31 at 13:46
Papasani MohansrinivasPapasani Mohansrinivas
85
85
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
The typical approach is to just cut the clips into consecutive sections, and run the model on each such section. Sometimes a bit of overlap is used, say 10%. then you have to decide what to do with potential conflicts in these overlaps.
A good model is usually robust against silence, otherwise you can try to cut silence in start and end of your 10-second window.
librosa.util.frame is a practical way of doing this in Python.
answered yesterday
jonnorjonnor
2726
$endgroup$
add a comment |
Your Answer
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48292%2fsegment-5-7-min-audio-into-sentence-wise-audio-clips-for-creating-speech-recogni%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
The typical approach is to just cut the clips into consecutive sections, and run the model on each such section. Sometimes a bit of overlap is used, say 10%. then you have to decide what to do with potential conflicts in these overlaps.
A good model is usually robust against silence, otherwise you can try to cut silence in start and end of your 10-second window.
librosa.util.frame is a practical way of doing this in Python.
answered yesterday
jonnorjonnor
2726
$endgroup$
add a comment |
$begingroup$
The typical approach is to just cut the clips into consecutive sections, and run the model on each such section. Sometimes a bit of overlap is used, say 10%. then you have to decide what to do with potential conflicts in these overlaps.
A good model is usually robust against silence, otherwise you can try to cut silence in start and end of your 10-second window.
librosa.util.frame is a practical way of doing this in Python.
answered yesterday
jonnorjonnor
2726
$endgroup$
add a comment |
$begingroup$
The typical approach is to just cut the clips into consecutive sections, and run the model on each such section. Sometimes a bit of overlap is used, say 10%. then you have to decide what to do with potential conflicts in these overlaps.
A good model is usually robust against silence, otherwise you can try to cut silence in start and end of your 10-second window.
librosa.util.frame is a practical way of doing this in Python.
answered yesterday
jonnorjonnor
2726
$endgroup$
The typical approach is to just cut the clips into consecutive sections, and run the model on each such section. Sometimes a bit of overlap is used, say 10%. then you have to decide what to do with potential conflicts in these overlaps.
A good model is usually robust against silence, otherwise you can try to cut silence in start and end of your 10-second window.
librosa.util.frame is a practical way of doing this in Python.
answered yesterday
jonnorjonnor
2726
answered yesterday
jonnorjonnor
2726
answered yesterday
jonnorjonnor
2726
answered yesterday
jonnorjonnor
2726
2726
add a comment |
add a comment |
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48292%2fsegment-5-7-min-audio-into-sentence-wise-audio-clips-for-creating-speech-recogni%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
