I am trying to do some audio debugging on my Linux system.
I learned how to record the sound of the current playing media but how can I get the PCM data without DAC/ADC?
I mean, just like wireshark or tcpdump tool, is there some sort of alsadump that I can make use of?
I want to do bit-exact comparison of the output PCM data to make sure the audio processing algorithm (which is an executable binary) worked correctly.
Thanks a lot.
As part of a project I am working on, there is a requirement to concatenate multiple pieces of audio data into one large audio file. The audio files are generated from four sources, and the individual files are stored in a Google Cloud storage bucket. Each file is an mp3 file, and it is easy to verify that each individual file is generating correctly (individually, I can play them, edit them in my favourite software, etc.).
To merge the audio files together, a nodejs server loads the files from the Google Cloud storage as an array buffer using an axios POST request. From there, it puts each array buffer into a node Buffer using Buffer.from(), so now we have an array of Buffer objects. Then it uses Buffer.concat() to concatenate the Buffer objects into one big Buffer, which we then convert to Base64 data and send to the client server.
This is cool, but the issue arises when concatenating audio generated from different sources. The 4 sources I mentioned above are Text to Speech software platforms, such as Google Cloud Voice and Amazon Polly. Specifically, we have files from Google Cloud Voice, Amazon Polly, IBM Watson, and Microsoft Azure Text to Speech. Essentially just five text to speech solutions. Again, all individual files work, but when concatenating them together via this method there are some interesting effects.
When the sound files are concatenated, seemingly depending on which platform they originate from, the sound data either will or will not be included in the final sound file. Below is a 'compatibility' table based on my testing:
|------------|--------|--------|-----------|-----|
| Platform / | Google | Amazon | Microsoft | IBM |
|------------|--------|--------|-----------|-----|
| Google | Yes | No | No | No |
|------------|--------|--------|-----------|-----|
| Amazon | | No | No | Yes |
|------------|--------|--------|-----------|-----|
| Microsoft | | | Yes | No |
|------------|--------|--------|-----------|-----|
| IBM | | | | Yes |
|------------|--------|--------|-----------|-----|
The effect is as follows: When I play the large output file, it will always start playing the first sound file included. From there, if the next sound file is compatible, it is heard, otherwise it is skipped entirely (no empty sound or anything). If it was skipped, the 'length' of that file (for example 10s long audio file) is included at the end of the generated output sound file. However, the moment that my audio player hits the point where the last 'compatible' audio has played, it immediately skips to the end.
As a scenario:
Input:
sound1.mp3 (3s) -> Google
sound2.mp3 (5s) -> Amazon
sound3.mp3 (7s)-> Google
sound4.mp3 (11s) -> IBM
Output:
output.mp3 (26s) -> first 10s is sound1 and sound3, last 16s is skipped.
In this case, the output sound file would be 26s seconds long. For the first 10 seconds, you would hear the sound1.mp3 and sound3.mp3 played back to back. Then at 10s (at least playing this mp3 file in firefox) the player immediately skips to the end at 26s.
My question is: Does anyone have any ideas why sometimes I can concatenate audio data in this way, and other times I cannot? And how come there is this 'missing' data included at the end of the output file? Shouldn't concatenating the binary data work in all cases if it works for some cases, as all the files have mp3 encoding? If I am wrong please let me know what I can do to successfully concatenate any mp3 files :)
I can provide my nodeJS backend code, but the process and methods used are described above.
Thanks for reading?
Potential Sources of Problems
Sample Rate
44.1 kHz is often used for music, as it's what is used on CD audio. 48 kHz is usually used for video, as it's what was used on DVDs. Both of those sample rates are much higher than is required for speech, so it's likely that your various text-to-speech providers are outputting something different. 22.05 kHz (half of 44.1 kHz) is common, and 11.025 kHz is out there too.
While each frame specifies its own sample rate, making it possible to generate a stream with varying sample rates, I've never seen a decoder attempt to switch sample rates mid-stream. I suspect that the decoder is skipping these frames, or maybe even skipping over an arbitrary block until it gets consistent data again.
Use something like FFmpeg (or FFprobe) to figure out what the sample rates of your files are:
ffmpeg -i sound2.mp3
You'll get an output like this:
Duration: 00:13:50.22, start: 0.011995, bitrate: 192 kb/s
Stream #0:0: Audio: mp3, 44100 Hz, stereo, fltp, 192 kb/s
In this example, 44.1 kHz is the sample rate.
Channel Count
I'd expect your voice MP3s to be in mono, but it wouldn't hurt to check to be sure. As with above, check the output of FFmpeg. In my example above, it says stereo.
As with sample rate, technically each frame could specify its own channel count but I don't know of any player that will pull off switching channel count mid-stream. Therefore, if you're concatenating, you need to make sure all the channel counts are the same.
ID3 Tags
It's common for there to be ID3 metadata at the beginning (ID3v2) and/or end (ID3v1) of the file. It's less expected to have this data mid-stream. You would want to make sure this metadata is all stripped out before concatenating.
MP3 Bit Reservoir
MP3 frames don't necessarily stand alone. If you have a constant bitrate stream, the encoder may still use less data to encode one frame, and more data to encode another. When this happens, some frames contain data for other frames. That way, frames that could benefit from the extra bandwidth can get it while still fitting the whole stream within a constant bitrate. This is the "bit reservoir".
If you cut a stream and splice in another stream, you may split up a frame and its dependent frames. This typically causes an audio glitch, but may also cause the decoder to skip ahead. Some badly behaving decoders will just stop playing altogether. In your example, you're not cutting anything so this probably isn't the source of your trouble... but I mention it here because it's definitely relevant to the way you're working these streams.
See also: http://wiki.hydrogenaud.io/index.php?title=Bit_reservoir
Solutions
Pick a "normal" format, resample and rencode non-conforming files
If most of your sources are all the exact same format and only one or two outstanding, you could convert the non-conforming file. From there, strip ID3 tags from everything and concatenate away.
To do the conversion, I'd recommend kicking it over to FFmpeg as a child process.
child_process.spawn('ffmpeg' [
// Input
'-i', inputFile, // Use '-' to write to STDIN instead
// Set sample rate
'-ar', '44100',
// Set audio channel count
'-ac', '1',
// Audio bitrate... try to match others, but not as critical
'-b:a', '64k',
// Ensure we output an MP3
'-f', 'mp3',
// Output
outputFile // As with input, use '-' to write to STDOUT
]);
Best Solution: Let FFmpeg (or similar) do the work for you
The simplest, most robust solution to all of this is to let FFmpeg build a brand new stream for you. This will cause your audio files to be decoded to PCM, and a new stream made. You can add parameters to resample those inputs, and modify channel counts if needed. Then output one stream. Use the concat filter.
This way, you can accept audio files of any type, you don't have to write the code to hack those streams together, and once setup you won't have to worry about it.
The only downside is that it will require a re-encoding of everything, meaning another generation of quality lost. This would be required for any non-conforming files anyway, and it's just speech, so I wouldn't give it a second thought.
#Brad's answer was the solution! The first solution he suggested worked. It took some messing around getting FFMpeg to work correctly, but in the end using the fluent-ffmpeg library worked.
Each file in my case was stored on Google Cloud Storage, and not on the server's hard drive. This posed some problems for FFmpeg, as it requires file paths to have multiple files, or an input stream (but only one is supported, as there is only one STDIN).
One solution is to put the files on the hard drive temporarily, but this would not work for our use case as we may have a lot of use in this function and the hard drive adds latency.
So, instead we did as suggested and loaded each file into ffmpeg to convert it into a standardized format. This was a bit tricky, but in the end requesting each file as a stream, using that stream as an input for ffmpeg, then using fluent-ffmpeg's pipe() method (which returns a stream) as output worked.
We then bound an event listener to the 'data' event for this pipe, and pushed the data to an array (bufs.push(data)), and on stream 'end' we concatenated this array using Buffer.concat(bufs), followed by a promise resolve.
Then once all requests promises were resolved, we could be sure ffmpeg had processed each file, and then those buffers were concatenated in the required groups as before using Buffer.concat(), converted to base64 data, and sent to the client.
This works great, and now it seems to be able to handle every combination of files/sources I can throw at it!
In conclusion:
The answer to the question was that the mp3 data must have been encoded differently (different channels, sample rates, etc.), and loading it through ffmpeg and outputing it in a 'unified' way made the mp3 data compatible.
The solution was to process each file in ffmpeg separately, pipe the ffmpeg output into a buffer, then concatenate the buffers.
Thanks #Brad for your suggestions and detailed answer!
I have a large number of .PCM files (248 total) that are all encoded as:
Encoding: Signed 16-bit uncompressed PCM
Byte order: Little-endian
Channels: 2 channel (stereo)
Sample rate: 44100 Hz
8 Byte header
I need to apply a -7.5 db amplification (deamplification?) to every single one of these files.
The problem I have is that all of these tracks are looped, and I need to preserve the loop data (contained in the 8-byte header).
I've yet to see a batch audio editing problem that sox couldn't handle, so I'm hoping someone on here would know how to use sox to accomplish this, or failing that, know of a program that can do this for me.
Thanks for the help!
*Edit- A bit of research got me the exact encoding of the PCM audio I need to edit:
"The audio tracks are 44.1 kilohertz, 16-bit stereo uncompressed unsigned PCM files in little-endian order, left channel first, with a simple eight-byte header. The first four bytes spell out “MSU1” in ASCII. This is followed by a 32-bit unsigned integer used as the loop point, measured in samples (a sample being four bytes) – if the repeat bit is set in the audio state register, this value is used to determine where to seek the audio track to."
*Edit2-I've managed to develop the needed sox command, I just have no idea how to turn it into a batch. Also, turns out the files were 16-bit signed, not unsigned, PCM.
sox -t raw -e signed -b 16 -r 44100 -c 2 -L [filename].pcm -t raw -L [filename].raw vol -7.5dB
I'm fine with either a .BAT I drag and drop files onto or a .BAT that just converts every .PCM file in the folder.
Help appreciated, because I don't even know where to start looking for this one...
I receive data from a Kinect v2, which is (I believe, information is hard to find) 16kHz mono audio in 32-bit floating point PCM. The data arrives in up to 4 "SubFrames", which contain 256 samples each.
When I send this data to lame.exe with -r -s 16 --bitwidth 32 -m m I get an output containing gaps (supposedly where the second channel should be). These command line switches should however take stereo and downmix it to mono.
I've also tried importing the raw data into Audacity, but I still can't figure out the correct way to get continuous audio out of it.
EDIT: I can get continuous audio when I only save the first SubFrame. The audio still doesn't sound right though.
In the end I went with Ogg Vorbis. A free format, so no problems there either. I use the following command line switches for oggenc2.exe:
oggenc2.exe --raw-format=3 --raw-chan=1 --raw-rate=16000 - --output=[filename]
Would like to do following four things (separately), and need a bit of help understanding how to approach this,
Dump audio data (from a serial-over-USB port), encoded as PCM, 16-bit, 8kHz, little-endian, into a file (plain binary data dump, not into any container format). Can this approach be used:
$ cat /dev/ttyUSB0 > somefile.dat
Can I do a ^C to close the file writing, while the dumping is in progress, as per the above command ?
Stream audio data (same as above described kind), directly into ffmpeg for it to play out ? Like this:
$ cat /dev/ttyUSB0 | ffmpeg
or, do I have to specify the device port as a "-source" ? If so, I couldn't figure out the format.
Note that, I've tried this,
$ cat /dev/urandom | aplay
which works as expected, by playing out white-noise..., but trying the following doesn't help:
$ cat /dev/ttyUSB1 | aplay -f S16_LE
Even though, opening /dev/ttyUSB1 using picocom # 115200bps, 8-bit, no parity, I do see gibbrish, indicating presence of audio data, exactly when I expect.
Use the audio data dumped into the file, use as a source in ffmpeg ? If so how, because so far I get the impression that ffmpeg can read a file in standard containers.
Use pre-recorded audio captured in any format (perhaps .mp3 or .wav) to be streamed by ffmpeg, into /dev/ttyUSB0 device. Should I be using this as a "-sink" parameter, or pipe into it or redirect into it ? Also, is it possible that in 2 terminal windows, I use ffmpeg to capture and transmit audio data from/into same device /dev/ttyUSB0, simultaneously ?
My knowledge of digital audio recording/processing formats, codecs is somewhat limited, so not sure if what I am trying to do qualifies as working with 'raw' audio or not ?
If ffmpeg is unable to do what I am hoping to achieve, could gstreamer be the solution ?
PS> If anyone thinks that the answer could be improved, please feel free to suggest specific points. Would be happy to add any detail requested, provided I have the information.