Transcriber | video transcription project to make YouTube videos audio | Video Utils library

 by   erolrecep Python Version: Current License: No License

kandi X-RAY | Transcriber Summary

kandi X-RAY | Transcriber Summary

Transcriber is a Python library typically used in Video, Video Utils applications. Transcriber has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A video transcription project to make YouTube videos audio content available as text
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            kandi-support Support

              Transcriber has a low active ecosystem.
              It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Transcriber has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Transcriber is current.

            kandi-Quality Quality

              Transcriber has 0 bugs and 0 code smells.

            kandi-Security Security

              Transcriber has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Transcriber code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Transcriber does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Transcriber releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 117 lines of code, 8 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Transcriber and discovered the below as its top functions. This is intended to give you an instant insight into Transcriber implemented functionality, and help decide if they suit your requirements.
            • Main function .
            • Convert audio into string .
            • Generates a list of words from candidate transcripts .
            • Convert a samplerate to a desired sample rate .
            • Write metadata to a JSON file .
            • Load a model .
            • Write text to a text file .
            • Convert metadata to string .
            Get all kandi verified functions for this library.

            Transcriber Key Features

            No Key Features are available at this moment for Transcriber.

            Transcriber Examples and Code Snippets

            No Code Snippets are available at this moment for Transcriber.

            Community Discussions

            QUESTION

            Compare rows of pandas dataframe
            Asked 2022-Mar-22 at 14:50

            Continuing my earlier question. Now I have one dataframe, where I added a new column 'New' with values 1 through 150 for each new file, that can be used as an index if required. I figured it would be easier to make the loop for every file separately. And now I am not sure how to proceed. Let me provide the code, the explanation of the task at hand, and some thoughts how to move on.

            New FileName Transcriber Transcription 1 612_000002.wav 100% (80/80) Are we starting off? 612_000002.wav 100% (50/50) shall we starting on 612_000002.wav 100% (2/2) fast mode 612_000002.wav 100% (258/259) Go and start it up 612_000002.wav 100% (20/20) Are we starting off? 612_000002.wav Quartznet there was not inl 612_000002.wav Transducer_M don't start again 612_000002.wav Transducer_L do we start again 2 612_000003.wav 100% (258/259) here we go, hey well woah woah woah 612_000003.wav 100% (23/23) evening gulf air 612_000003.wav 100% (32/32) And as the 1st group reached the bottom of the... 612_000003.wav 100% (80/80) Happy to go off here, woah woah woah 612_000003.wav 100% (10/10) Go boom we'll just 612_000003.wav Transducer_L anything off yeah i'm willing we'll just 612_000003.wav Transducer_S having gone here on will and wolf is ...

            ANSWER

            Answered 2022-Mar-20 at 21:06

            I assumed you still wanted to know the transcriber of both ground truth and hypothesis. In my approach, I disregarded the new column, as I don't really see what the purpose is.

            First, we join the dataframe with itself, merging only on filename (thereby creating a cross-join of 113 rows, for this example).

            Source https://stackoverflow.com/questions/71548990

            QUESTION

            Join 2 pandas dataframes by adding rows with the same index
            Asked 2022-Mar-19 at 17:46

            I am struggling to join two dataframes by index (I've made column FileName an index for both tables) which look like this:

            Table 1

            FileName Transcriber Transcription 612_000002.wav 100% (80/80) Are we starting off? 612_000002.wav 100% (50/50) shall we starting on 612_000002.wav 100% (2/2) fast mode 612_000002.wav 100% (258/259) Go and start it up 612_000002.wav 100% (20/20) Are we starting off? 612_000003.wav 100% (258/259) here we go, hey well woah woah woah 612_000003.wav 100% (23/23) evening gulf air 612_000003.wav 100% (32/32) And as the 1st group reached the bottom of the... 612_000003.wav 100% (80/80) Happy to go off here, woah woah woah 612_000003.wav 100% (10/10) Go boom we'll just

            Table 2 is similar and looks like this:

            FileName Transcriber Transcription 612_000002.wav Quartznet there was not inl 612_000002.wav Transducer_M don't start again 612_000002.wav Transducer_L do we start again 612_000003.wav Transducer_L anything off yeah i'm willing we'll just 612_000003.wav Transducer_S having gone here on will and wolf is

            So I've looked into concat, merge, and join. But they don't seem to yield the output I am looking for. What I would like to have is all values from both tables for filename1, all values for filename2 and etc. Basically, adding rows from table2 to table1. Is there any way around it? Thank you <3

            ...

            ANSWER

            Answered 2022-Mar-19 at 17:46

            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

            Python / Flask - Internal Server Error on hosting server
            Asked 2021-Aug-08 at 13:27

            On the local server this Python app works perfectly, however, when I set up this Python app on my server where my site is hosted, index.html loads and that means Python is well set up, but when I click the Transcribe button, after as I select the language and .wav file, an error occurs:

            ...

            ANSWER

            Answered 2021-Aug-08 at 13:27

            I cannot comment in the above discussion due to less points. No it is not due to server response time.

            Did you try with transcript = recognizer.recognize_google(data) instead

            Source https://stackoverflow.com/questions/68700076

            QUESTION

            How can I bulk/batch transcribe wav files using python?
            Asked 2021-Mar-06 at 06:17

            im trying to use my python app to transcribe multiple files in a folder and speed up the process. At present I am able to do it one file at a time -

            ...

            ANSWER

            Answered 2021-Mar-03 at 16:48

            have you tried running this script multiple times? you could write a wrapper that launches this script in a subprocess kinda like this:

            Source https://stackoverflow.com/questions/66451038

            QUESTION

            With asyncio in Python 3 code, how can I (re)start/stop non-blocking websocket IO recurrently?
            Asked 2021-Mar-05 at 09:06

            In my live phone speech recognition project Python's asyncio and websockets modules are used basically to enable data exchange between client and server in asynchronous mode. The audio stream which to be recognized comes to the client from inside of a PBX channel (Asterisk PBX works for that) via a local wav file that cumulates all data from answering call until hangup event. While conversation is going on, an async producer pushes chunks of call record (each of them no larger than 16 kB) to asyncio queue, so that a consumer coroutine can write data to buffer before sending to the recognition engine server (my pick is Vosk instance with Kaldi engine designed to connect using websocket interface). Once the buffer exceeds a specific capacity (for example it may be 288 kB), the data should be flushed to recognition by send function and returned (as a transcript of the speech) by recv. The real-time recognition does matter here, therefore I need to guarantee that socket operations like recv will not halt both coroutines throughout websocket session (they should be able to keep queue-based data flow until the hangup event). Let's take a look at whole program, first of all there is a main where an event loop gets instantiated as well as a couple of tasks:

            ...

            ANSWER

            Answered 2021-Mar-05 at 09:06

            If I understand the issue correctly, you probably want to replace await self.do_recognition() with asyncio.create_task(self.do_recognition()) to make do_recognition execute in the background. If you need to support Python 3.6 and earlier, you can use loop.create_task(...) or asyncio.ensure_future(...), all of which in this case do the same thing.

            When doing that you'll also need to extract the value of self._buffer and pass it to do_recognition as parameter, so that it can send the buffer contents independently of the new data that arrives.

            Two notes unrelated to the question:

            • The code is accessing internal implementation attributes of queue, which should be avoided in production code because it can stop working at any point, even in a bugfix release of Python. Attributes that begin with _ like _finished and _unfinished_tasks are not covered by backward compatibility guarantees and can be removed, renamed, or change meaning without notice.

            • You can import CancelledError from the top-level asyncio package which exposes it publicly. You don't need to refer to the internal concurrent.futures._base module, which just happens to be where the class is defined by the implementation.

            Source https://stackoverflow.com/questions/66469586

            QUESTION

            How to decode .ogg opus to int16 NumPy array with librosa?
            Asked 2020-Jun-25 at 10:51
            What I'm trying to do

            I'm trying to transcribe Telegram audio messages, using Mozillas speech-to-text engine deepspeech.

            Using *.wav in 16bit 16khz works flawless.

            I want to add *.ogg opus support, since Telegram uses this format for it's audio messages.

            What I have tried so far

            I have tried pyogg and soundfile so far, with no luck.

            Soundfile could outright not read the opus format and pyogg is a pain to install without conda. I had really weird moments where it literally crashed python.

            Right now, I'm trying librosa with mixed results.

            ...

            ANSWER

            Answered 2020-Jun-25 at 10:51

            librosa returns an array floats in range -1.0 to 1.0. In int16 the maximum value is 32767. So you have to multiply to scale the signal, then convert to int16.

            Source https://stackoverflow.com/questions/62536448

            QUESTION

            Is there a way to install a module named google in Python?
            Asked 2020-Apr-18 at 18:08

            I try to create a speech-to-text transcriber with Python and Google cloud.

            Unfortunately, it always gives me the error "ModuleNotFoundError: No module named 'google'".

            I installed plenty of packages, google-cloud, google-cloud-storage and many more and nothing seems to work.

            I also looked up "How to install Python packages", but after following the respective links, which I though must be the right ones, it still did not work.

            The following is part of the code I use:

            ...

            ANSWER

            Answered 2020-Apr-18 at 18:08

            Have you looked at this page: https://cloud.google.com/speech-to-text/docs/quickstart-client-libraries#client-libraries-install-python ?

            And have you tried pip install --upgrade google-cloud-speech?

            Source https://stackoverflow.com/questions/61281469

            QUESTION

            Replace names inside a JSON string with ids in mySQL
            Asked 2020-Mar-22 at 10:27

            I have a table that has a pkey and a pvalue column. One pkey value is "moderators" and its corresponding pvalue is a JSON string. Currently the string looks like this:

            ...

            ANSWER

            Answered 2020-Mar-16 at 12:06

            you can do like a´akina already said, use:

            Source https://stackoverflow.com/questions/60704843

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

            Vulnerabilities

            No vulnerabilities reported

            Install Transcriber

            This repository includes couple options for transcription;. For each use case's you need to install couple different softwares/libraries. The main use case is downloading a video / videos (as audio) from YouTube and transcribe them. For this use case, these steps should be followed;.
            [ ] YouTube video transcriber
            [x] A video transcriber
            [ ] Record your voice and transcriber afterwards
            [ ] Transcribe while speaking
            clone the repository $ git clone https://github.com/erolrecep/Transcriber.git
            Install SoX Swiss army knife for audio processing things $ brew install sox # For Mac Os X $ sudo apt install sox # For Ubuntu
            create a new Python virtual environment $ conda create --name transcriber python=3.6 $ conda activate transcriber $ conda install tensorflow==1.13.1 # if you have GPU, then install *conda install tensorflow-gpu==1.13.1* (surprisingly I like this version of tensorflow :) ) $ pip install youtube-dl deepspeech==0.7.4 # if you have GPU, then install *pip install deepspeech-gpu==0.7.4*
            Download pre-trained DeepSpeech models from here This repository uses 0.7.4 version of the DeepSpeech, you can try the same setup with newer models. You need to download 0.7.4 pdmm file If you want, you can also download and load scorer provided by Mozilla, scorer
            Now, the virtual environment is ready, the next step is running the project. For your convenience, I provided a sample .wav file so you can test your setup if it's working. Also, you can download audio files from here $ python run.py # This will read audio files from the *audio_locations.txt* file. $ python run.py -a audio_files/sample.wav # This will only run inference on this input .wav file

            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 .
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            https://github.com/erolrecep/Transcriber.git

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            gh repo clone erolrecep/Transcriber

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            git@github.com:erolrecep/Transcriber.git

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