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• How to fix av_interleaved_write_frame() broken pipe error in php

  31 mars, par Adekunle Adeyeye

  I have an issue using ffmpeg to stream audio and parse to google cloud speech to text in PHP.

  


  It returns this output.
I have tried delaying some part of the script, that did not solve it.
I have also checked for similar questions. however, they are mostly in python and none of the solutions actually work for this.

  


    built with gcc 8 (GCC)
  cpudetect
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libavresample   4.  0.  0 /  4.  0.  0
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
Input #0, mp3, from 'https://npr-ice.streamguys1.com/live.mp3':
  Metadata:
    icy-br          : 96
    icy-description : NPR Program Stream
    icy-genre       : News and Talk
    icy-name        : NPR Program Stream
    icy-pub         : 0
    StreamTitle     :
  Duration: N/A, start: 0.000000, bitrate: 96 kb/s
    Stream #0:0: Audio: mp3, 32000 Hz, stereo, fltp, 96 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (mp3 (mp3float) -> pcm_s16le (native))
Press [q] to stop, [?] for help
Output #0, s16le, to 'pipe:':
  Metadata:
    icy-br          : 96
    icy-description : NPR Program Stream
    icy-genre       : News and Talk
    icy-name        : NPR Program Stream
    icy-pub         : 0
    StreamTitle     :
    encoder         : Lavf58.29.100
    Stream #0:0: Audio: pcm_s16le, 16000 Hz, mono, s16, 256 kb/s
    Metadata:
      encoder         : Lavc58.54.100 pcm_s16le
**av_interleaved_write_frame(): Broken pipe** 256.0kbits/s speed=1.02x
**Error writing trailer of pipe:: Broken pipe**
size=      54kB time=00:00:01.76 bitrate= 250.8kbits/s speed=0.465x
video:0kB audio:55kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
Conversion failed!


  


  this is my PHP code

  


  require_once 'vendor/autoload.php';
    
    $projectId = "xxx-45512";
    putenv('GOOGLE_APPLICATION_CREDENTIALS=' . __DIR__ . '/xxx-45512-be3eb805f1d7.json');
    
    // Database connection
    $pdo = new PDO('mysql:host=localhost;dbname=', '', '');
    $pdo->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
    
    $url = "https://npr-ice.streamguys1.com/live.mp3";
    
    $ffmpegCmd = "ffmpeg -re -i $url -acodec pcm_s16le -ac 1 -ar 16000 -f s16le -";
    
    $fp = popen($ffmpegCmd, "r");
    if (!$fp) {
        die("Failed to open FFmpeg stream.");
    }
    sleep(5);

    try {
        $client = new SpeechClient(['transport' => 'grpc', 'credentials' => json_decode(file_get_contents(getenv('GOOGLE_APPLICATION_CREDENTIALS')), true)]);
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage(); 
        exit;
    }
    
    $recognitionConfig = new RecognitionConfig([
        'auto_decoding_config' => new AutoDetectDecodingConfig(),
        'language_codes' => ['en-US'],
        'model' => 'long',
    ]);
    
    $streamingConfig = new StreamingRecognitionConfig([
        'config' => $recognitionConfig,
    ]);
    
    $configRequest = new StreamingRecognizeRequest([
        'recognizer' => "projects/$projectId/locations/global/recognizers/_",
        'streaming_config' => $streamingConfig,
    ]);
    
    
    function streamAudio($fp)
    {
        while (!feof($fp)) {
            yield fread($fp, 4096);
        }
    }
    
    $responses = $client->streamingRecognize([
    'requests' => (function () use ($configRequest, $fp) {
            yield $configRequest; // Send initial config
            foreach (streamAudio($fp) as $audioChunk) {
                yield new StreamingRecognizeRequest(['audio' => $audioChunk]);
            }
        })()]
    );
    
    // $responses = $speechClient->streamingRecognize();
    // $responses->writeAll([$request,]);
    
    foreach ($responses as $response) {
        foreach ($response->getResults() as $result) {
            $transcript = $result->getAlternatives()[0]->getTranscript();
            // echo "Transcript: $transcript\n";
    
            // Insert into the database
            $stmt = $pdo->prepare("INSERT INTO transcriptions (transcript) VALUES (:transcript)");
            $stmt->execute(['transcript' => $transcript]);
        }
    }
    
    
    pclose($fp);
    $client->close();


  


  I'm not sure what the issue is at this time.

  


  UPDATE

  


  I've done some more debugging and i have gotten the error to clear and to stream actually starts.
However, I expect the audio to transcribe and update my database but instead I get this error when i close the stream

  


  

  


  this is my updated code

  


      $handle = popen($ffmpegCommand, "r");

    try {
        $client = new SpeechClient(['transport' => 'grpc', 'credentials' => json_decode(file_get_contents(getenv('GOOGLE_APPLICATION_CREDENTIALS')), true)]);
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage(); 
        exit;
    }
    
    try {
    $recognitionConfig = (new RecognitionConfig())
        ->setAutoDecodingConfig(new AutoDetectDecodingConfig())
        ->setLanguageCodes(['en-US'], ['en-UK'])
        ->setModel('long');
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage(); 
        exit;
    }
    
    try {
        $streamConfig = (new StreamingRecognitionConfig())
        ->setConfig($recognitionConfig);
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage();
        exit;
    }
    try {
        $configRequest = (new StreamingRecognizeRequest())
        ->setRecognizer("projects/$projectId/locations/global/recognizers/_")
        ->setStreamingConfig($streamConfig);
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage(); 
        exit;
    }
    
    $stream = $client->streamingRecognize();
    $stream->write($configRequest);
    
    mysqli_query($conn, "INSERT INTO transcriptions (transcript) VALUES ('bef')");
    
    while (!feof($handle)) {
        $chunk = fread($handle, 25600);
        // printf('chunk: ' . $chunk);
        if ($chunk !== false) {
            try {
                $request = (new StreamingRecognizeRequest())
                        ->setAudio($chunk);
                    $stream->write($request);
            } catch (Exception $e) {
                printf('Errorc: ' . $e->getMessage());
            }
        }
    }
    
    
    $insr = json_encode($stream);
    mysqli_query($conn, "INSERT INTO transcriptions (transcript) VALUES ('$insr')");
    
    foreach ($stream->read() as $response) {
        mysqli_query($conn, "INSERT INTO transcriptions (transcript) VALUES ('loop1')");
        foreach ($response->getResults() as $result) {
            mysqli_query($conn, "INSERT INTO transcriptions (transcript) VALUES ('loop2')");
            foreach ($result->getAlternatives() as $alternative) {
                $trans = $alternative->getTranscript();
                mysqli_query($conn, "INSERT INTO transcriptions (transcript) VALUES ('$trans')");
            }
        }
    }
    
    pclose($handle);
    $stream->close();
    $client->close();```


  


• avformat/iamf : fix setting channel layout for Scalable layers

  17 juin, par James Almer

  avformat/iamf : fix setting channel layout for Scalable layers
  The way streams are coded in an IAMF struct follows a scalable model where the
  
  channel layouts for each layer may not match the channel order our API can
  
  represent in a Native order layout.
  For example, an audio element may have six coded streams in the form of two
  
  stereo streams, followed by two mono streams, and then by another two stereo
  
  streams, for a total of 10 channels, and define for them four scalable layers
  
  with loudspeaker_layout values "Stereo", "5.1ch", "5.1.2ch", and "5.1.4ch".
  
  The first layer references the first stream, and each following layer will
  
  reference all previous streams plus extra ones.
  
  In this case, the "5.1ch" layer will reference four streams (the first two
  
  stereo and the two mono) to encompass six channels, which does not match out
  
  native layout 5.1(side) given that FC and LFE come after FL+FR but before
  
  SL+SR, and here, they are at the end.
  For this reason, we need to build Custom order layouts that properly represent
  
  what we're exporting.
  
  Before :
    Stream group #0:0[0x12c] : IAMF Audio Element :
  
      Layer 0 : stereo
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
      Layer 1 : 5.1(side)
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
        Stream #0:1[0x1] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:2[0x2] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:3[0x3] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
      Layer 2 : 5.1.2
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
        Stream #0:1[0x1] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:2[0x2] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:3[0x3] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:4[0x4] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
      Layer 3 : 5.1.4
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
        Stream #0:1[0x1] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:2[0x2] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:3[0x3] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:4[0x4] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:5[0x5] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
  AFter :
    Stream group #0:0[0x12c] : IAMF Audio Element :
  
      Layer 0 : stereo
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
      Layer 1 : 6 channels (FL+FR+SL+SR+FC+LFE)
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
        Stream #0:1[0x1] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:2[0x2] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:3[0x3] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
      Layer 2 : 8 channels (FL+FR+SL+SR+FC+LFE+TFL+TFR)
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
        Stream #0:1[0x1] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:2[0x2] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:3[0x3] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:4[0x4] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
      Layer 3 : 10 channels (FL+FR+SL+SR+FC+LFE+TFL+TFR+TBL+TBR)
  
        Stream #0:0[0x0] : Audio : opus, 48000 Hz, stereo, fltp (default)
  
        Stream #0:1[0x1] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:2[0x2] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:3[0x3] : Audio : opus, 48000 Hz, mono, fltp (dependent)
  
        Stream #0:4[0x4] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  
        Stream #0:5[0x5] : Audio : opus, 48000 Hz, stereo, fltp (dependent)
  Signed-off-by : James Almer <jamrial@gmail.com>
  

  • [DH] libavformat/iamf_parse.c
  • [DH] libavformat/iamf_writer.c
  • [DH] libavformat/iamfdec.c
  • [DH] tests/ref/fate/iamf-5_1-copy
  • [DH] tests/ref/fate/iamf-5_1-demux
  • [DH] tests/ref/fate/iamf-5_1_4
  • [DH] tests/ref/fate/iamf-7_1_4
  • [DH] tests/ref/fate/iamf-9_1_6
  • [DH] tests/ref/fate/mov-mp4-iamf-5_1_4
  • [DH] tests/ref/fate/mov-mp4-iamf-7_1_4-video-first
  • [DH] tests/ref/fate/mov-mp4-iamf-7_1_4-video-last

• Announcing our latest open source project : DeviceDetector

  30 juillet 2014, par Stefan Giehl — Community, Development, Meta, DeviceDetector

  This blog post is an announcement for our latest open source project release : DeviceDetector ! The Universal Device Detection library will parse any User Agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model.

  Read on to learn more about this exciting release.

  Why did we create DeviceDetector ?

  Our previous library UserAgentParser only had the possibility to detect operating systems and browsers. But as more and more traffic is coming from mobile devices like smartphones and tablets it is getting more and more important to know which devices are used by the websites visitors.

  To ensure that the device detection within Piwik will gain the required attention, so it will be as accurate as possible, we decided to move that part of Piwik into a separate project, that we will maintain separately. As an own project we hope the DeviceDetector will gain a better visibility as well as a better support by and for the community !

  DeviceDetector is hosted on GitHub at piwik/device-detector. It is also available as composer package through Packagist.

  How DeviceDetector works

  Every client requesting data from a webserver identifies itself by sending a so-called User-Agent within the request to the server. Those User Agents might contain several information such as :

  • client name and version (clients can be browsers or other software like feed readers, media players, apps,…)
  • operating system name and version
  • device identifier, which can be used to detect the brand and model.

  For Example :

  Mozilla/5.0 (Linux; Android 4.4.2; Nexus 5 Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Mobile Safari/537.36

  This User Agent contains following information :

  Operating system is Android 4.4.2, client uses the browser Chrome Mobile 32.0.1700.99 and the device is a Google Nexus 5 smartphone.

  What DeviceDetector currently detects

  DeviceDetector is able to detect bots, like search engines, feed fetchers, site monitors and so on, five different client types, including around 100 browsers, 15 feed readers, some media players, personal information managers (like mail clients) and mobile apps using the AFNetworking framework, around 80 operating systems and nine different device types (smartphones, tablets, feature phones, consoles, tvs, car browsers, cameras, smart displays and desktop devices) from over 180 brands.

  Note : Piwik itself currently does not use the full feature set of DeviceDetector. Client detection is currently not implemented in Piwik (only detected browsers are reported, other clients are marked as Unknown). Client detection will be implemented into Piwik in the future, follow #5413 to stay updated.

  Performance of DeviceDetector

  Our detections are currently handled by an enormous number of regexes, that are defined in several .YML Files. As parsing these .YML files is a bit slow, DeviceDetector is able to cache the parsed .YML Files. By default DeviceDetector uses a static cache, which means that everything is cached in static variables. As that only improves speed for many detections within one process, there are also adapters to cache in files or memcache for speeding up detections across requests.

  How can users help contribute to DeviceDetector ?

  Submit your devices that are not detected yet

  If you own a device, that is currently not correctly detected by the DeviceDetector, please create a issue on GitHub
  In order to check if your device is detected correctly by the DeviceDetector go to your Piwik server, click on ‘Settings’ link, then click on ‘Device Detection’ under the Diagnostic menu. If the data does not match, please copy the displayed User Agent and use that and your device data to create a ticket.

  Submit a list of your User Agents

  In order to create new detections or improve the existing ones, it is necessary for us to have lists of User Agents. If you have a website used by mostly non desktop devices it would be useful if you send a list of the User Agents that visited your website. To do so you need access to your access logs. The following command will extract the User Agents :

  zcat ~/path/to/access/logs* | awk -F'"' '{print $6}' | sort | uniq -c | sort -rn | head -n20000 > /home/piwik/top-user-agents.txt

  If you want to help us with those data, please get in touch at devicedetector@piwik.org

  Submit improvements on GitHub

  As DeviceDetector is free/libre library, we invite you to help us improving the detections as well as the code. Please feel free to create tickets and pull requests on Github.

  What’s the next big thing for DeviceDetector ?

  Please check out the list of issues in device-detector issue tracker.

  We hope the community will answer our call for help. Together, we can build DeviceDetector as the most powerful device detection library !

  Happy Device Detection,