You won't believe how fast it is | Raspberry Pi Speech-to-Text

Faster than real-time offline speech transcription on Raspberry Pi - or any other computing system, including Orange Pi, Jetson Nano and many other Linux SBCs. A quick hands-on guide from installing necessary packages to running Whisper model with whisper.cpp or faster-whisper.
Whisper.cpp Python bindings repository:
github.com/AIW...
faster-whisper:
github.com/SYS...
Benchmark gist:
gist.github.co...

[@Hardwareai]

The follow-up video is also live on KZbin - find it in my channel. Support my work on making tutorials and guides on Patreon! www.patreon.com/hardware_ai Or by buying hardware with these links (affiliate): Official Seeed Studio Store s.click.aliexpress.com/e/_DBfAaP9 s.click.aliexpress.com/e/_DkhpJAR Raspberry Pi 4 s.click.aliexpress.com/e/_DFBtkCP Raspberry Pi 5 s.click.aliexpress.com/e/_DmMSKb5

[@brianmeyer107]

love this video! i rarely find myself pausing, and rewinding but here the details were coming fast enough that i became the weak link. love this.

[@Hardwareai]

Glad to hear I found the right pace. Thank you for the feedback!

[@C0ldSpace]

I need this because im building a translator for my sister. There’s a new person in her class that can only speak Spanish, so im making this.

[@Hardwareai]

Good usage!

[@newtownsmells]

Hey this is incredible. really appreciate your work

[@Hardwareai]

Thank you so much 😀

[@TomanswerAi]

Very cool guide. Thank you.

[@Hardwareai]

Glad you enjoyed it!

[@newtownsmells]

Would you consider showing how to implement live real time streaming with faster-whisper? Seems like that would be a huge way forward

[@Hardwareai]

Yes, this is much requested. So stay tuned.

[@exploring-electronic]

Thanks for the work done fixing the whisper.cpp python bindings! I'll check them out.

[@ЭдуардГаврилов-л3о]

😊

[@Hardwareai]

Yes, let me know if you run into any issues.

[@emanuelepapa3548]

I’m using your repository. Thanks you

[@Hardwareai]

Thanks for the feedback!

[@antoniorodriguez-ynyestosa5907]

Hi! This is amazing! Thank you very much! Just a quick question, should it work on Windows? Because I get an error when I run "python -m build -w": * Building wheel... running bdist_wheel Building pybind11 extension... error: [WinError 193] %1 not a valid Win32 app ERROR Backend subprocess exited when trying to invoke build_wheel

[@Hardwareai]

Thank you for the feedback! While theoretically it SHOULD run on Windows as well, I only tested it on Raspberry Pi (so Debian Linux) and MacOS...

[@tribelessa]

Hello! Great work, will try test it. Your projects are interesting (for me since Kendryte K210).

[@Hardwareai]

Thanks! I see you have been following my channel for a while :)

[@daniellawton4336]

The descriptions aren't clear on whether this is offline or using an online service... I suppose you have to watch the video to find out, but you might make that clearer.

[@Hardwareai]

Thank you for the comment! Yes, watching video is a good idea. Also thumbnail is clear enough, don't you think? ;)

[@daniellawton4336]

@@Hardwareai Still didn't answer my question, but I found the answer elsewhere. No one has the Pi doing offline TTS. I suppose there's too much math for the little guy.

[@Hardwareai]

@@daniellawton4336 huh? Well, if you watch the video, you'll see that it's exactly what I'm doing with whisper.cpp on raspberry pi 4...

[@daniellawton4336]

@@Hardwareai My bad... I'm copying your link to my desktop...

[@ResearchDevelopment-e2q]

​@@daniellawton4336 Piper

[@markantinozzi4970]

I'm going to try to install it.

[@Hardwareai]

There is a known issue at the moment: github.com/AIWintermuteAI/whispercpp/issues/88#issuecomment-2171120795 I'll be fixing it once I get back from traveling, beginning of July.

[@markantinozzi4970]

@@Hardwareai Certainly let me know. I'm excited to try it. Happy traveling!! Be safe! >M

[@levbereggelezo]

Well done! Was whisper.cpp compiled with BLAS optimizations?

[@Hardwareai]

No, it wasn't. It is a possible way to slightly improve the results, but at least on raspberry pi it will not change the outcome too much, faster-whisper still will be faster. Jetson series on the other hand might take advantage of CUBLAS, so it is more interesting.

[@JA_RON]

Do not like the amount of cutting in the video, like what did you do in-between? its hard to follow through with this.

[@Hardwareai]

Can't please everyone :) some people do not like the pauses and want faster pace.

[@bens4446]

I had heard about faster whisper on other channels but thought it couldn't work on an SBC because it uses GPU which an SBC doesn't have. I have no idea how you did this. Thanks!

[@Hardwareai]

Interesting. No, it certainly can run on CPU - I made a follow-up on this video, explaining more about faster-whisper specifically, you can find it on my channel.

[@DavidPsurny]

What is the full command line at 2:35 ?

[@Hardwareai]

python stream.py --model_name tiny.en-q5_1

[@sephtronics]

Hey, thanks for the video. I'm encountering an error though around 2:33, if you've any suggestions please let me know. stream.py: error: argument --model_name: expected one argument Changing the command to : python stream.py --model tiny But seeing this error now: ERROR: Failed to initialized SDL: dsp: No such audio device I've got a headset with microphone attached to the Pi 5 via USB port. Is it because I need an external soundcard/other hardware like in your video? Any ideas what the issue could be?

[@Hardwareai]

Yes, there is an ongoing issue, which I am working on fixing: github.com/AIWintermuteAI/whispercpp/issues/88

[@aalhadm8048]

Hi, could you use this for real-time streaming?

[@Hardwareai]

Isn't that exactly what I do in the video?

[@randommm-light]

How hard would it be to add a continuous background search process taking keywords from the conversation? I wanna have a screen in my office that's supporting the dialogue with more right brain material. Of course, they need to interrupt and follow the sauce for resource would be important.

[@Hardwareai]

follow the sauce for resource? Very interesting. Anyways, this is already shown in the example here: github.com/AIWintermuteAI/whispercpp/blob/e46fd2da91bab8cfd98a0af886230cc773afd982/examples/stream/stream.py#L18

[@lagkdd2913]

When i run in raspberry pi, It raise an error: AttributeError: module 'os' has no attribute 'add_dll_directory'

[@Hardwareai]

I built it just today and it works as expected. If you are still struggling, it's best to open an issue in my fork on GH.

[@Rahulkrishnan-g9g]

Can the program be modified so that all recognized texts are consolidated into a single paragraph upon exiting the program?

[@Hardwareai]

Append strings to the list and then concatenate and print them at the end?

[@BogdanMnikov]

I did find this video while coding the next big thing, how did you know 🤣

[@Hardwareai]

Magic 8 ball xD

[@abdullahdogan5822]

hi, What should I do to make it understand in more than one language? Is this possible?

[@Hardwareai]

Use tiny model instead of tiny.en. Do keep in mind the quality of recognition is likely to be worse with multi-language model.

[@ptsckts6123]

hello, same benchmark results in 5925.774ms computation time on my RPI 5 currently, should I do anything differently? the audio file i've used is 10 secs, same JFK speech

[@Hardwareai]

One thing I could have improved about my little benchmark script is multiple measurements. First run is always the slowest. Is 5925 ms. for the first run or even for later concurrent runs as well?

[@ptsckts6123]

@@Hardwareai Ooh that was it, now I get ~600ms. Thanks! Also I got 1.218 sec computation for a 145 seconds talk, I don't know how it works but segmentation takes much longer

[@harokk4242]

error in pip install build error-externally managed enviorment

[@Hardwareai]

I think you missed one step in my video - regardless, here it is stackoverflow.com/questions/75608323/how-do-i-solve-error-externally-managed-environment-every-time-i-use-pip-3.

[@yashvishah9315]

Can i use INMP441 Microphone Module I2S instead of respeaker 2-mics pi hat fir real time transcription? If yes what will be my pin configuration fot that? And will there be any changes on the code?

[@Hardwareai]

In theory you can use any audio input device. In practice your mileage will vary, some hardware choice will be more difficult to work with from software perspective. For pin configuration you can have a look at INMP441 related docs. The code uses SDL for audio capture, so if INMP441 can work with that, there should minimal to none code changes. Can't say for sure tho until you try :)

[@yashvishah9315]

@@Hardwareai oh understood! So I have to select that microphone which supports SDL!?

[@Hardwareai]

If you want minimum code changes - yes. Otherwise, you could of course re-write the code to support any audio input device - whisper model by itself is obviously device agnostic, as long as you can provide audio in a specified format supported by the model.

[@yashvishah9315]

Ohkii! Understood 😃 thank you!!

[@danilovaz9839]

oh man, please teach me the ways. Like, for real. I saw you provide 1:1 consultancy, but I need to know if your price is per meeting of for a full project.

[@Hardwareai]

The ways of hardware, tricky they are, young padawan... Okay, jokes aside - I did reply in the other comment xD long story short - I'm focused on getting my YT channel back on track at the moment, at least getting back monetization would be nice (YT took it away from me). So I'm not really doing consulting - but if your project is based on my videos/tutorials, I can provide some feedback.

[@danilovaz9839]

@@Hardwareai Oh master. Sorry I missed your last message! Thanks for replying again, though! Oh man, sad to hear you're not doing consulting. But I still appreciate watching your incoming videos so that's a win anyway. And yeah, your videos are the main inspirational source for me. So it'd be amazing to get some feedback as I'm sure I'll get stuck with something along the way - as its usual with all things computer related. May I let you know when that happens?

[@Hardwareai]

If you are doing something related to my projects, then yes :) QA is always welcome

[@jlbciriaco3142]

@hardwareai what raspberri pi are you sing?

[@Hardwareai]

I normally sing raspberri pi tenor, but I can do raspberri pi falsetto as well for comic effect xD Okay, I guess you asked what raspberry pi was I using, not singing. For this video it was Raspberry Pi 4. There is another newer video where I was using Raspberry Pi 5 as well, kzbin.info/www/bejne/aaqvd4qmgLCVm5o

[@LoneEntrepreneur]

It's not real time. it's from a file, if you want to test real-time stream it and get output back as you speak

[@Hardwareai]

It is though? I start with whisper.cpp streaming example, which is also real-time for quantized model.

[@LoneEntrepreneur]

yes but you keep repeating real time when using pre-recorded file sent to the cloud. that's not the definition of real time, although the module is real time but the method and technique used is not@@Hardwareai

[@Hardwareai]

/scratching the head/ are we talking about the same video? at 2:30 I run whisper model on my voice in real-time, not from file, but from respeaker mic.

[@LoneEntrepreneur]

my bad, you're right it's different video. lol.@@Hardwareai

[@40centuriones]

It would be awesome if you combined this with piper(rhasspy) to make a hardware device capable of STT to TTS. It would be a Zentreya-style portable voice changer.

[@Hardwareai]

The TTS part of it would be more computationally expensive - but you can have a try!

[@Tyrone-Ward]

Does this require Internet?

[@Hardwareai]

Nope. Completely offline.

[@SouvikPal-notionvidz]

I was trying to use this in a intel based mini pc running Ubuntu22.04 and ran into audio issues. When I run python stream.py --model_name tiny , I get ERROR: Failed to initialized SDL: Audio target 'pulseaudio' not available Traceback (most recent call last): File "/home/souvik/whispercpp/examples/stream/stream.py", line 30, in main transcription = self.transcriber.stream_transcribe(callback=self.store_transcript_handler, **kwargs) File "/home/souvik/whisper/lib/python3.10/site-packages/whispercpp/__init__.py", line 257, in stream_transcribe raise RuntimeError("Failed to initialize audio capture device.") RuntimeError: Failed to initialize audio capture device. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/souvik/whispercpp/examples/stream/stream.py", line 100, in transcriber.main(**vars(args)) File "/home/souvik/whispercpp/examples/stream/stream.py", line 32, in main assert transcription is not None, "Something went wrong!" AssertionError: Something went wrong!

[@SouvikPal-notionvidz]

The audio system is fine, I can record audio using parecord, arecord etc....and SDL libraries are all installed.

[@Hardwareai]

Yeah, these issues can be tough to diagnose unfortunately. The problem as you can see is not really with whisper.cpp, but rather with SDL not wanting to play nicely with your audio setup.

[@newtownsmells]

I canºt seem to get the stream.py to work. gives this error: ERROR: Failed to initialized SDL: Audio target 'pulseaudio' not available Traceback (most recent call last): File ".../whispercpp/examples/stream/stream.py", line 30, in main transcription = self.transcriber.stream_transcribe(callback=self.store_transcript_handler, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "..whisper/lib/python3.11/site-packages/whispercpp/__init__.py", line 257, in stream_transcribe raise RuntimeError("Failed to initialize audio capture device.") RuntimeError: Failed to initialize audio capture device. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "../examples/stream/stream.py", line 100, in transcriber.main(**vars(args)) File "..whispercpp/examples/stream/stream.py", line 32, in main assert transcription is not None, "Something went wrong!" ^^^^^^^^^^^^^^^^^^^^^^^^^ AssertionError: Something went wrong! Any ideas? i get this when i run list audio devices ERROR: Failed to initialized SDL: Audio target 'pulseaudio' not available

[@Hardwareai]

Hmm, I am able to find something on Google for Audio target 'pulseaudio' not available, but it is for OpenSUSE. Are you using the latest Raspberry Pi OS?

[@newtownsmells]

@@Hardwareai yeah i am using the latest pi os

[@Hardwareai]

Okay, then it is likely something specific to the mic setup. I was using reSpeaker 2 mic raspberry pi hat. First thing to try would be to see if the mic works correctly (with arecord) and then if it does, debug the issue with this particular mic and SDL. To summarize, the issue is not in the stream.py code or even whisper.cpp, but rather that SDL does not seem to be working with your mic setup...

[@KK4CNM]

What SSH client are you using? I love it!

[@Hardwareai]

I think you're referring VSCODE SSH extension? it is nice indeed, I use it all the time

[@nicknicksom1873]

2:34 what model? --model throws a syntax error

[@Hardwareai]

python stream.py --model_name tiny.en-q5_1

[@JA_RON]

Looks nothing like your screen at 2:24 looks like you rand a separate command to make it look the same? THIS IS ON PI 4 4GB /whispercpp$ python3 -m build -w * Creating isolated environment: venv+pip... * Installing packages in isolated environment: - setuptools>=65 - setuptools_scm[toml]>=7 - wheel * Getting build dependencies for wheel... running egg_info writing src/whispercpp.egg-info/PKG-INFO writing dependency_links to src/whispercpp.egg-info/dependency_links.txt writing top-level names to src/whispercpp.egg-info/top_level.txt adding license file 'LICENSE' writing manifest file 'src/whispercpp.egg-info/SOURCES.txt' * Building wheel... running bdist_wheel Building pybind11 extension... INFO: Running bazel wrapper (see //tools/bazel for details), bazel version 6.0.0 will be used instead of system-wide bazel installation. Loading: Loading: 0 packages loaded Analyzing: target //:extensions (0 packages loaded, 0 targets configured) INFO: Repository local_config_cc instantiated at: /DEFAULT.WORKSPACE.SUFFIX:509:13: in /home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/cc_configure.bzl:183:16: in cc_configure Repository rule cc_autoconf defined at: /home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/cc_configure.bzl:143:30: in ERROR: An error occurred during the fetch of repository 'local_config_cc': Traceback (most recent call last): File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/cc_configure.bzl", line 125, column 33, in cc_autoconf_impl configure_unix_toolchain(repository_ctx, cpu_value, overriden_tools) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line 349, column 17, in configure_unix_toolchain cc = find_cc(repository_ctx, overriden_tools) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line 314, column 23, in find_cc cc = _find_generic(repository_ctx, "gcc", "CC", overriden_tools) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line 310, column 32, in _find_generic auto_configure_fail(msg) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/lib_cc_configure.bzl", line 112, column 9, in auto_configure_fail fail(" %sAuto-Configuration Error:%s %s " % (red, no_color, msg)) Error in fail: Auto-Configuration Error: Cannot find gcc or CC (gcc); either correct your path or set the CC environment variable ERROR: /DEFAULT.WORKSPACE.SUFFIX:509:13: fetching cc_autoconf rule //external:local_config_cc: Traceback (most recent call last): File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/cc_configure.bzl", line 125, column 33, in cc_autoconf_impl configure_unix_toolchain(repository_ctx, cpu_value, overriden_tools) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line 349, column 17, in configure_unix_toolchain cc = find_cc(repository_ctx, overriden_tools) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line 314, column 23, in find_cc cc = _find_generic(repository_ctx, "gcc", "CC", overriden_tools) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line 310, column 32, in _find_generic auto_configure_fail(msg) File "/home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/cpp/lib_cc_configure.bzl", line 112, column 9, in auto_configure_fail fail(" %sAuto-Configuration Error:%s %s " % (red, no_color, msg)) Error in fail: Auto-Configuration Error: Cannot find gcc or CC (gcc); either correct your path or set the CC environment variable INFO: Repository pybind11 instantiated at: /home/USERNAME/whispercpp/WORKSPACE:5:14: in /home/USERNAME/whispercpp/rules/deps.bzl:40:10: in internal_deps /home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/build_defs/repo/utils.bzl:233:18: in maybe Repository rule http_archive defined at: /home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/tools/build_defs/repo/http.bzl:372:31: in ERROR: /home/USERNAME/.cache/bazel/_bazel_USERNAME/47e434f3ad38c4f560ec65b4f078ce0a/external/bazel_tools/src/tools/launcher/BUILD:9:14: @bazel_tools//src/tools/launcher:launcher depends on @local_config_cc//:cc-compiler-aarch64 in repository @local_config_cc which failed to fetch. no such package '@local_config_cc//': Auto-Configuration Error: Cannot find gcc or CC (gcc); either correct your path or set the CC environment variable ERROR: Analysis of target '//:extensions' failed; build aborted: INFO: Elapsed time: 1.801s INFO: 0 processes. FAILED: Build did NOT complete successfully (1 packages loaded, 2 targets configured) ERROR: Build failed. Not running target Traceback (most recent call last): File "/home/USERNAME/whisper/lib/python3.12/site-packages/pyproject_hooks/_in_process/_in_process.py", line 373, in main() File "/home/USERNAME/whisper/lib/python3.12/site-packages/pyproject_hooks/_in_process/_in_process.py", line 357, in main json_out["return_val"] = hook(**hook_input["kwargs"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/USERNAME/whisper/lib/python3.12/site-packages/pyproject_hooks/_in_process/_in_process.py", line 271, in build_wheel return _build_backend().build_wheel( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/build_meta.py", line 415, in build_wheel return self._build_with_temp_dir( ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/build_meta.py", line 397, in _build_with_temp_dir self.run_setup() File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/build_meta.py", line 313, in run_setup exec(code, locals()) File "", line 45, in File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/__init__.py", line 108, in setup return distutils.core.setup(**attrs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/core.py", line 184, in setup return run_commands(dist) ^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/core.py", line 201, in run_commands dist.run_commands() ^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands self.run_command(cmd) ^^^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 988, in run_command cmd_obj.run() ^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/wheel/bdist_wheel.py", line 299, in run self.run_command("build") File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/cmd.py", line 319, in run_command self.distribution.run_command(command) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 988, in run_command cmd_obj.run() ^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/command/build.py", line 135, in run self.run_command(cmd_name) File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/cmd.py", line 319, in run_command self.distribution.run_command(command) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/build-env-dl15xn6j/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 988, in run_command cmd_obj.run() ^^^^^^^^^^^^^ File "src/whispercpp/bindings/setup.py", line 42, in run subprocess.run( File "/home/USERNAME/whisper/lib/python3.12/subprocess.py", line 549, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['bazel', 'build', '//:extensions', '-c', 'opt']' returned non-zero exit status 1.

[@Hardwareai]

Hi! Could you create an issue in GH repo instead?

[@user-cl2og]

I downloaded this on the Raspberry Pi 4, bookworm 64 bit and I got the following error: fatal: remote error: upload-pack: not our ref c9d5095f0c64455b201f1cd0b547efcf093ee7c3 fatal: Fetched in submodule path 'extern/whispercpp/bindings/ios', but it did not contain c9d5095f0c64455b201f1cd0b547efcf093ee7c3. Direct fetching of that commit failed. fatal: Failed to recurse into submodule path 'extern/whispercpp'. Any suggestions?

[@Hardwareai]

It sounds like you git cloned the upstream? I solved exactly the same issue in my fork

[@Hardwareai]

Can you do git log and paste the output?

[@user-cl2og]

@@Hardwareai I messaged you on linkedin because I think the youtube spam filter is not letting me paste the output.

[@Hardwareai]

Oh, all right, that is possible. For future generations, who find this comment - if it is code related, creating an issue in GH is preferable.

[@torstenaltmann62]

It threw me an error at "python3 -m build -w": PermissionError: [Errno 13] Permission denied: 'src/whispercpp/__about__.py' ERROR Backend subprocess exited when trying to invoke get_requires_for_build_wheel

[@Hardwareai]

Can you post this error with detailed steps preceding it and some environment info (OS, architecture) to the Github issues and tag me there?

[@moneshraghu5598]

How to correct SDL error of audio device not found and what mic are you using???

[@Hardwareai]

Mic - reSpeaker 2-mic hat for Raspberry Pi. Your SDL troubles will heavily depend on the device you are trying to run this on ....

[@moneshraghu5598]

@@Hardwareai which file in whispercpp do i alter to use usb mic as input?

[@Hardwareai]

Since it relies on SDL2 for sound capture, theoretically you don't have to change anything...