Speaker-Recognition | Automatic Speaker Recognition algorithms in Python | Computer Vision library
kandi X-RAY | Speaker-Recognition Summary
kandi X-RAY | Speaker-Recognition Summary
Automatic Speaker Recognition algorithms in Python
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Top functions reviewed by kandi - BETA
- Train the model
- Blurb the nearest neighbour distance
- Compute the hamming function for a time series
- Calculate the LPC correlation coefficient
- Generate a mel filterbank
- Compute Euclidian distance between two vectors
- Calculate the autocorrelation of x
- Create a symmetric symmetric matrix
- Convert hertz frequency to mel rate
- Convert melcius tohertz
- Compute the STFT
- Find the nearest pow2
- Compute the frequency spectrum of a time series
- Calculate the LPC correlation coefficient
Speaker-Recognition Key Features
Speaker-Recognition Examples and Code Snippets
Community Discussions
Trending Discussions on Speaker-Recognition
QUESTION
I am still facing the error in the verification process
{"error":{"code":"BadRequest","message":"SpeakerInvalid"}}'
My audio is correct as it is getting enrolled easily
...ANSWER
Answered 2020-Mar-03 at 12:27I could reproduce your problem. You are getting this error cause there is a ? in the end of your url, however behind verify there is already a ?. So if you want to add params to your request url you should use & just like the sample code in this API doc:Speaker Recognition - Verification .
Below is my work code.
QUESTION
I needed to implement speech 'identification', ie. Guess if the person who is trying to login, is actually him/her, by matching his/her voice. To consider the case, where the app doesn't recognize the person, but the user is himself trying to login, then he may bypass it with a pin, setup during initial settings.
I am using Python and Flask, to build the webapp, and included javascript in the question, so as to know of possible ways in it too. Till now, i read about it from some sources, but i couldn't arrive at a possible solution, on stack overflow, as well as 'few' blog posts.
The best 'possible' solution i could arrive at was Cognitive Speech Services by Microsoft - https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/
I also thought of recording the voice using the Recorder.js, and analyzing at the server end, but couldn't implement it.
So, i wanted a way to implement it on the web app, even a simple gist with a bit of code on using ms cognitive services (i did read pages of the documentation, but it didnt help much), or doing it by python will be helpful.
...ANSWER
Answered 2020-Jan-23 at 12:47The documentation at https://docs.microsoft.com/en-us/azure/cognitive-services/speaker-recognition/home will be helpful. Note that there are clickthrough links to the API reference. It explains the high-level process (use “enrollment” to train).
We have speaker identification, which is distinguishing who is speaking from a group of known voices that you train with. You need to provide labelled data (meaning examples of a known speaker talking): see https://westus.dev.cognitive.microsoft.com/docs/services/563309b6778daf02acc0a508/operations/5645c3271984551c84ec6797.
or Please follow the below link speech SDK samples. https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/
You can use batch transcription api and enable diarization. https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription
QUESTION
I'm using android-alize for a speaker identification app. As the documentation says I'm trying to train a model as below,
// Send audio to the system alizeSystem.addAudio(audio);
// Train a model with the audio alizeSystem.createSpeakerModel("Somebody");
But my application crashing with below stacktrace,
...ANSWER
Answered 2018-Apr-25 at 05:05Further debugged the Alize-LIA_RAL and I realized that the android project looks for a world.gmm (UBM) in assets/gmm/world.gmm. Seems like we have to generate this world.gmm with LIA_RAL library and later add it to the android code.
However we have to specify the UBM location using below given code snippet during the alize initialization.
QUESTION
I have an UWP application (with NuGet package Microsoft.ProjectOxford.SpeakerRecognition) where I can set enrollment and recognize a speaker.
The question is how to set enrollment phrase. Currently speaker could use only first one "I am going to make him an offer he cannot refuse"
As I can see on example phrase could be set.
But as I can see in documentation - I can get only list of phrases
ANSWER
Answered 2017-Feb-28 at 06:10You currently cannot use custom phrase list for enrollment. You would send an audio file using "Verification Profile - Create Enrollment". The following phrases can be used for enrollment.
"I am going to make him an offer he cannot refuse"
"Houston we have had a problem"
"My voice is my passport verify me"
"Apple juice tastes funny after toothpaste"
"You can get in without your password"
"You can activate security system now"
"My voice is stronger than passwords"
"My password is not your business"
"my name is unknown to you"
"be yourself everyone else is already taken"
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Speaker-Recognition
You can use Speaker-Recognition 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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