kaldi | official location of the Kaldi project | Speech library

 by   kaldi-asr Shell Version: Current License: Non-SPDX

kandi X-RAY | kaldi Summary

kandi X-RAY | kaldi Summary

kaldi is a Shell library typically used in Artificial Intelligence, Speech, Pytorch applications. kaldi has no bugs, it has no vulnerabilities and it has medium support. However kaldi has a Non-SPDX License. You can download it from GitHub.

[Gitpod Ready-to-Code] Kaldi Speech Recognition Toolkit.

            kandi-support Support

              kaldi has a medium active ecosystem.
              It has 12835 star(s) with 5202 fork(s). There are 701 watchers for this library.
              It had no major release in the last 6 months.
              There are 151 open issues and 1443 have been closed. On average issues are closed in 93 days. There are 61 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of kaldi is current.

            kandi-Quality Quality

              kaldi has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              kaldi has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              kaldi releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            kaldi Key Features

            No Key Features are available at this moment for kaldi.

            kaldi Examples and Code Snippets

            No Code Snippets are available at this moment for kaldi.

            Community Discussions


            Is this sed command valid?
            Asked 2022-Jan-15 at 08:48

            I have 2 lines of sed that I have trouble understanding

            I understand that the syntax of sed is :

            sed OPTIONS [SCRIPT] [INPUTFILE]

            but in this command below there is no input file I am just curious what this is doing, any help is very much appreciated




            Answered 2022-Jan-15 at 08:48

            there is no input file I am just curious what this is doing

            The answer is at your fingertips.

            Source https://stackoverflow.com/questions/70719841


            Snakemake: Use checkpoint and function to aggregate unknown number of files using wildcards
            Asked 2021-Dec-07 at 05:19

            Before this, I checked this, snakemake's documentation, this,and this. Maybe they actually answered this question but I just didn't understand it.

            In short, I create in one rule a number of files from other files, that both conform to a wildcard format. I don't know how many of these I create, since I don't know how many I originally download.

            In all of the examples I've read so far, the output is directory("the/path"), while I have a "the/path/{id}.txt. So this I guess modifies how I call the checkpoints in the function itself. And the use of expand.

            The rules in question are:





            The order of the rules should be:

            download_mv (creates {MV_ID}.TEX and .wav (though not necessarily the same amount)

            textgrid_to_ctm_txt (creates from {MV_ID}.TEX matching .txt and .ctm)

            get_MV_IDs (should make a list of the .ctm files)

            merge_ctms (should concatenate the ctm files)

            kaldi_align (from the .wav and .txt directories creates one ctm file)

            analyse_align (compares ctm file from kaldi_align the the merge_ctms)


            I have tried with the outputs of download_mv being directories, and then trying to get the IDs but I had different errors then. Now with snakemake --dryrun I get



            Answered 2021-Dec-07 at 05:19

            I can see the reason why you got the error is:

            You use input function in rule merge_ctms to access the files generated by checkpoint. But merge_ctms doesn't have a wildcard in output file name, snakemake didn't know which wildcard should be filled into MV_ID in your checkpoint.

            I'm also a bit confused about the way you use checkpoint, since you are not sure how many .TEX files would be downloaded (I guess), shouldn't you use the directory that stores .TEX as output of checkpoint, then use glob_wildcards to find out how many .TEX files you downloaded?

            An alternative solution I can think of is to let download_mv become your checkpoint and set the output as the directory containing .TEX files, then in input function, replace the .TEX files with .ctm files to do the format conversion

            Source https://stackoverflow.com/questions/70247422


            Flask consummer doesn't execute callback when consomming from rabbitMQ
            Asked 2021-Oct-06 at 08:21

            So I have this problem. I want to use both Flask and RabbitMQ to do a microservice capable of doing some computation-heavy task. I basically wants something like the Remote procedure call (RPC) tutorial from the documentation, but with a REST Api overhead.

            So I've come with that code, so far:




            Answered 2021-Oct-06 at 08:21

            you did attach the callback method on_response to the queue answer, but you never tell your server to start consuming the queues.

            Looks like you are missing self.channel.start_consuming() at the end of your class initialization.

            Source https://stackoverflow.com/questions/69456094


            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:



            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


            weird awk outputs in reading/writing file
            Asked 2020-Dec-08 at 00:19

            I'm working on a Kaldi project about the existing example using the Tedlium dataset. Every step works well until the clean-up stage. I have a length mismatch issue. After examing all the scripts, I found the issue is in the lattice_oracle_align.sh


            I believe the issue is line 142.



            Answered 2020-Dec-07 at 19:04

            By seeing your samples I believe you are looking to compare 1st field NOT 2nd field(which shows in your shown code), so if this is the case then try running following(where I have changed from $2 to $1 for comparing with 1st field).

            Source https://stackoverflow.com/questions/65187722


            Linker error: undefined reference to `Reference_Genome::seq[abi:cxx11]'
            Asked 2020-Jun-29 at 15:50

            I am pretty new to c and c++, so please try explain more specific what I should do. The program tries to read files from a directory using multithreads, and store the information in a map so that it can be used later.

            I have been looking for similar posts. However, I am not able to figure out.

            In https://github.com/kaldi-asr/kaldi/issues/938, it said that "If you get linker errors about undefined references to symbols that involve types in the std::__cxx11 namespace or the tag [abi:cxx11] then it probably indicates that you are trying to link together object files that were compiled with different values for the _GLIBCXX_USE_CXX11_ABI macro."

            The solution for undefined reference to `pthread_cancel' (add "-pthread" flag does not work either.

            My code is



            Answered 2020-Jun-29 at 15:50

            When you declare static variables inside a class, you must also declare it exactly once outside of the class. In this case, you could put this in the bottom of your C++ file or in between the main() function and the class Reference_Genome definition:

            Source https://stackoverflow.com/questions/62641743


            Unable to stream live audio from mic to remote port in PyAudio
            Asked 2020-May-04 at 08:28

            I have a transcription server listening for audio on a port on a remote machine. Everything works If I stream a pre-recorded audio file and stream it to the port using netcat

            I'm not able to do same using mic as input. I'm trying the following but for some reason audio is not getting streamed or I can't see and transcriptions happening or maybe I'm not sure how to get the response back in python



            Answered 2020-May-04 at 08:28


            Converting WAV file bytes to speech recognition-compatible format
            Asked 2020-Apr-25 at 17:30

            I've been pounding my head against a wall for three days on a Python automation pipeline that takes the binary byte array of .WAV email attachments (e.g. b'RIFFm\xc1\x00\x00WAVEfmt [...]') a phone system automatically pushes, push it through some text-to-speech API like speech_recognition or some future offline Sphinx/Kaldi implementation, and send a transcript back. Ideally, this would all be handled in memory without needing to create files on disk since that seems superfluous but I'm trying to figure out anything that Pythonically moves from the audio data I have to a transcript I can send and I don't mind a little file cleanup.

            The problem I'm running into is the .WAV file attachments I manually downloaded for testing and binary data I'm working with through the email API aren't playing nice with the wave dependency, with wave.open('ipsum.wav') giving an Error: unknown format: 49 and work with the speech_recognition library ends with that wave unknown format error translating into a ValueError: Audio file could not be read as PCM WAV, AIFF/AIFF-C, or Native FLAC; check if file is corrupted or in another format.

            Manually converting the local files I have into .wavs using an online file conversion tool seems to fix the issue in a way speech_recognition is willing to work with and I've managed to get a working transcript doing this (the transcript was too short for the file but that's a separate chunking issue). So the problem seems to be that wave isn't happy with how the files the phone system sends me are formatted/encoded/compressed and the solution sits somewhere in replicating how that web conversion tool encoded those test files.

            I've been messing around with pydub's .export() function to try forcing it to convert to something wave likes (pydub has managed to play those files) but it seems to have taken me in a circle and I wind up back where I started with the error traceback discussed above. The ideal solution probably lies in some tool that manipulates the byte array of email attachments in memory but, again, I'm open to any Pythonic suggestions.

            I might change up the text-to-speech framework I use from Google's somewhere down the line but the code for I've got so far for my basic implementation:



            Answered 2020-Apr-25 at 17:30

            Standard library wave module supports only PCM encoding as evidenced by this code:

            Source https://stackoverflow.com/questions/61378129


            Python - How to check whether a TCP server is already serving a client
            Asked 2020-Apr-22 at 13:30

            I am using the Kaldi speech recognition toolkit's "online 2-tcp-nnet3-decode-faster". The server receives raw audio and sends the text corresponding to this audio live. In other words, when using such a server, the idea is to start transcribing audio as soon as it is sent.

            If the server is busy serving one client request, it cannot handle a second one. The second request will remain idle until the first transcription completes and the first client closes the connexion.

            I would like to build a python client to communicate with the TCP server via websockets. I am able to create a socket connexion, however, I am still not able to determine whether the server is already serving another client so that I can try other servers on other ports or, create a new server instance on the fly.

            I am using something like the snippet below. The call to connect succeeds even when the server is serving another client.



            Answered 2020-Apr-22 at 13:30

            The server code included in Kaldi is kinda a toy, you can not use it in real applications just because it doesn't support multiprocessing and doesn't allow multiprocessing with a shared model. It is a total waste of resources to use it.

            If you need a Kaldi websocket server you can check VOSK server. It can run as many parallel requests as you need and allows you to control the load intelligently. It is also simple to configure vosk-server behind NGINX websocket proxy and distribute load across many nodes.

            Source https://stackoverflow.com/questions/61363259


            Automatic speech recognition framework for python
            Asked 2020-Apr-17 at 13:33

            I am currently doing an internship as a data scientist in a Startup and I am supposed to search for and implement existing automatic speech recognition frameworks. I have an intermediate knowledge of python and feel a little overwhelmed with the task.

            I have looked for solutions on Github and Kaldi which is commonly used for ASR was mentioned a lot. I am still however not able to install it on my computer (windows) since it apparently is made for use on Linux.

            Other than that I haven't found too many feasible solutions for python and that's why I wanted to ask if you guys have any experience with automatic speech recognition and if you can recommend a framework for python?



            Answered 2020-Apr-17 at 07:10

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