speech-to-text | Example transcribing audio file to text | Speech library
kandi X-RAY | speech-to-text Summary
kandi X-RAY | speech-to-text Summary
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- Transcribe audio .
speech-to-text Key Features
speech-to-text Examples and Code Snippets
Community Discussions
Trending Discussions on speech-to-text
QUESTION
I hope to use IBM speech recognition service without - curl
or ibm_watson
module.
And my attempt is below:
ANSWER
Answered 2022-Apr-11 at 08:50Here are the official API docs for Speech to Text: https://cloud.ibm.com/apidocs/speech-to-text
It includes various samples and further links. You can use the IAMAuthenticator to turn an API key into an authentication token and to handle refresh tokens. If you don't want to make use of the SDK you have to deal with the IBM Cloud IAM Identity Service API on your own. The API has functions to obtain authentication / access tokens.
I often use a function like this to turn an API key into an access token:
QUESTION
I have an app that involves an Alexa like digital assistant.
We are successfully receiving input for our Speech-To-Text engine with AVAudioEngine, and then using NLP we are interpreting that text into requests and responding.
Once we receive a command, we acknowledge that command with audio, played through AVAudioPlayer.
This wasn't a problem on our simulators, but on device we have noticed that if we play a sound any time after the AVAudioEngine has been initialized, the audio does not play on the device. The functions do not fail, and our audioPlayerDidFinishPlaying
fires at the appropriate time, but no audio is heard.
If we play audio when the app first launches without initializing the recording, the audio plays fine. If we stop the recording and wait one to many seconds later to play an audio file, no audio is ever heard.
We need to be able to stop the input when a command is recognized, play an audio file in response, and then resume recording.
What are we doing wrong?
AVAudioEngine instantiation and de-initialization:
Instantiation:
...ANSWER
Answered 2022-Apr-01 at 23:04The problem is with the audioSession
, with .record
it prevents other audio outputs. You can use .playAndRecord
instead of .record
:
QUESTION
I'm making a speech-to-text tool. I'm capturing audio in real time (using Web audio api from Chrome) and sending it to a server to convert the audio to text.
I'd like to extract pieces of the whole audio cause I only want to send sentences, avoiding silences. (cause the api I use has a cost). The problem is that I don't know how to convert the whole audio into pieces.
I was using MediaRecorder
to capture the audio
ANSWER
Answered 2022-Mar-22 at 12:33I've found the answer to my own question, I was using the wrong approach.
What I need to use to get the raw audio inputs and be able to manipulate them is the AudioWorkletProcessor.
This video helped me to understand the theory behind:
https://www.youtube.com/watch?v=g1L4O1smMC0
And this article helped me understand how to make use of it: https://developer.mozilla.org/en-US/docs/Web/API/Web_Audio_API/Using_AudioWorklet
QUESTION
I am having an issue with transcribing (Speech-To-Text) an audio file hosted on Azure Storage container from the Cognitive Services API.
The services are of the same resource (and I created a VNet and they are part of the same subnet).
After I take the response from there the contentUrl:
The error I get is:
...ANSWER
Answered 2022-Jan-27 at 12:44I tested in my environment and was getting the same error as you.
To resolve the issue, you need to append the SAS Token
with bloUrl
in contentUrls
field.
For Generating the SAS token allowed all the permission as I have done in below picture.
Generated Transcript report
Final OutPut
Once Clicked on ContentUrl
QUESTION
We are working on a speech-to-text project. We are quite new in this field and would be very grateful if you could help us.
Our goal is to use MFCC to extract features from the audio dataset, use a CNN model to estimate the likelihood of each feature, and then use an HMM model to convert the audio data to text. All of these steps are clear to us except for the labeling. When we preprocessed the data, we divided the audio data into smaller time frames, with each frame about 45ms long and a 10ms gap between each frame.
I am going to use TIMIT dataset. I am completely confused about the labeling of the data set. I checked the TIMIT dataset and I found out the label file have 3 columns. The First one is BEGIN_SAMPLE :== The beginning integer sample number for the segment, the second one is the ending integer sample number for the segment and the last one is PHONETIC_LABEL :== Single phonetic transcription. How we used this labeling? Are the first and second columns important? Thanks for your time
...ANSWER
Answered 2022-Mar-10 at 23:28The first column is the starting time of the phonemes, the second is the ending time.
E.g.
0 3050 h#
3050 4559 sh
h# (silent) starts from 0 ends at 0.305s
sh starts from 0.305s ends at 0.4559s
You can use those labels to train a frame-level phoneme classifier, then build ASR with HMM. Kaldi toolkit has a receipt for the TIMIT dataset.
Also, an ASR system could be built without these time labels. GMM-HMM model could help get those time stamps (alignment). End-to-end ASR could learn that alignment as well.
Based on my experience, new people who wanted to quickly build ASR systems would more likely to be frustrated. Since it is much more complicated than it sounds. So if you want to go deep in the ASR field, you need to spend time on the theories, and skills. Otherwise, I think it's better to rely more on people who have related experience.
Personal opinion.
QUESTION
I am using the Google Speech-to-Text client library for Python to convert speech using speech adaptation. I want to be able to boost phrases that fit a certain pattern. I have used this documentation to create custom classes and phrase sets and put them together into a SpeechAdaptation object.
...ANSWER
Answered 2022-Mar-05 at 23:51Your phrase "${movement_words} $OPERAND ${units} ${directions}"
has expanding variables (anything inside the {} refers to a variable)
So all the words in your array get expanded out - Now the phrase is easily more than 100 characters
QUESTION
I am using IBM's speech-to-text service and it says active. How do I deactivate it so I don't use all of my minutes? I have looked everywhere and cant find a way to deactivate it.
...ANSWER
Answered 2022-Mar-02 at 10:19If you don't invoke the API you won't be using any minutes. Provided you have kept your API credentials private, no-one else should be able to consume your minutes.
If you do want to deactivate the service, you can delete your service instance from your resource list. This will, however, also remove any language customisations that you have created.
As an alternative you can delete your API key. That way your customisations remain, but no-one can use the service.
QUESTION
I am creating a speech-to-text generator gui in pyqt5. The program takes input from microphone and sets the text of the text area accordingly but everytime the user takes an input, the whole text of the text edit changes. Is there any method as how to generate the second input in a new line in the text edit. Below is the code I am using.
This is the coding part for the text edit portion
...ANSWER
Answered 2022-Feb-18 at 05:41You want to add the new text to the existing
QUESTION
When using speech to text in Azure with dictation mode ON it recognizes words like "question mark" and returns "?". We found other words like this and were looking for complete list but were not able to find it in the documentation (https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/index-speech-to-text)
...ANSWER
Answered 2022-Feb-16 at 09:29You can find list of all supported punctuation words here: https://support.microsoft.com/en-us/office/dictate-your-documents-in-word-3876e05f-3fcc-418f-b8ab-db7ce0d11d3c#Tab=Windows
Scroll down to What can I say? section, select language and it will show you for example this:
QUESTION
This could pertain to other speech-to-text solutions, but we happen to be using Twilio.
Is there some easy means to do matching for a numerical date from spoken user input? For example, 08/11/2020 could be spoken as 'August Eleventh Twenty Twenty' 'Zero Eight one one Twenty Twenty' or various combinations. Because of how our app works, we need an exact match.
It seems that this would be a common issue, and I am wondering if there is already a solution. Any help would be appreciated.
...ANSWER
Answered 2022-Feb-01 at 23:48Twilio developer evangelist here.
In general speech to text, Twilio doesn't have anything for parsing a date from speech. Within Twilio Autopilot you can use the built in type Twilio.DATE to parse a date from a spoken string. This allows for detecting absolute examples like in your question, but also relative examples (like "tomorrow").
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Install speech-to-text
You can use speech-to-text 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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