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• I tried to play the audio on Alexa skill from my S3 Bucket, from the test tab, **it show but in fact, I can't hear any sound

  19 avril 2022, par Siti Mayna

  So I tried to play the audio on Alexa skill from my S3 Bucket, from the test tab, it show but in fact, I can't hear any sound. Another fact is, that I tried to use the sample audio from https://developer.amazon.com/en-US/docs/alexa/custom-skills/ask-soundlibrary.html and it is worked, but why it won't work when it comes from my own S3 Bucket ?

  


  Notes :

  


  I've tried to test the skill using my mobile phone also.

  


  I've tried to encode the audio using FFmpeg.

  


  I've tried to use Jovo to convert the audio. https://v3.jovo.tech/audio-converter

  


  I don't know how to fix this error.

  


  There is no error message on cloud watch.

  


  Assumptions :
There is some problem related to the audio resources or there is more set to play audio from S3 Bucket since the sample audio is working.

  


  Steps to reproduce :

  


  


  Build the interaction model

  


  


  


  Encode the audio to make it Alexa skill friendly (fulfill the requirements, like sample rate, etc), I used and tried all of these :

  


  


  A :

  


  ffmpeg -i  -ac 2 -codec:a libmp3lame -b:a 48k -ar 16000 -write_xing 0 


  


  B :

  


  ffmpeg -i  -ac 2 -codec:a libmp3lame -b:a 48k -ar 24000 -write_xing 0 


  


  C :

  


  ffmpeg -y -i input.mp3 -ar 16000 -ab 48k -codec:a libmp3lame -ac 1 output.mp3


  


  


  Upload the audio resources on S3Bucket
Audio sample on s3 storage but none of them are produce any sounds

  


  


  


  Use the link and insert it to APLA.json

  


  


  
    {
      "type": "APLA",
      "version": "0.91",
      "description": "Simple document that generates speech",
      "mainTemplate": {
        "parameters": [
          "payload"
        ],
        "type": "Sequencer",
        "items": [
          {
            "type": "Audio",
            "source": "https://72578561-d9d8-47b4-811c-cafbcbc5ddb9-us-east-1.s3.amazonaws.com/Media/one-small-step-alexa-24.mp3"
          }
        ]
      }
    }



  


  notes : I change the link sources based on audio that I tried.

  


  


  the intent on lambda_function.py :

  


  


  def _load_apl_document(file_path):
    # type: (str) -> Dict[str, Any]
    """Load the apl json document at the path into a dict object."""
    with open(file_path) as f:
        return json.load(f)

class LaunchRequestHandler(AbstractRequestHandler):
    """Handler for Skill Launch."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool

        return ask_utils.is_request_type("LaunchRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        logger.info("In LaunchRequestHandler")

        # type: (HandlerInput) -> Response
        speak_output = "Hello World!"
        # .ask("add a reprompt if you want to keep the session open for the user to respond")

        return (
            handler_input.response_builder
                #.speak(speak_output)
                .add_directive(
                        RenderDocumentDirective(
                            token="pagerToken",
                            document=_load_apl_document("APLA.json"),
                            datasources={}
                        )
                    )
                .response
        )


  


  


  Deploy

  


  


  


  Test it

  


  


  


  The result of the test on my end :

The response for testing

  


  


  the JSON response :

  


  {
    "body": {
        "version": "1.0",
        "response": {
            "directives": [
                {
                    "type": "Alexa.Presentation.APLA.RenderDocument",
                    "token": "pagerToken",
                    "document": {
                        "type": "APLA",
                        "version": "0.91",
                        "description": "Simple document that generates speech",
                        "mainTemplate": {
                            "parameters": [
                                "payload"
                            ],
                            "type": "Sequencer",
                            "items": [
                                {
                                    "type": "Audio",
                                    "source": "https://72578561-d9d8-47b4-811c-cafbcbc5ddb9-us-east-1.s3.amazonaws.com/Media/one-small-step-alexa-24.mp3"
                                }
                            ]
                        }
                    },
                    "datasources": {}
                }
            ],
            "type": "_DEFAULT_RESPONSE"
        },
        "sessionAttributes": {},
        "userAgent": "ask-python/1.16.1 Python/3.7.12"
    }
}


  


  


  On my cloud Watch :
Cloud Watch

  


  


• FileNotFoundError : [Errno 2] No such file or directory : 'ffprobe' heroku

  23 avril 2022, par yesha

  I download the application to heroku, it crashes with the error FileNotFoundError : [Errno 2] No such file or directory : 'ffprobe'. I've tried everything already, I can't figure out how to solve the problem

  


  import json
import os
import random
import requests
from pydub import AudioSegment
 
def get_audio(pathes):
    AudioSegment.converter = "ffmpeg/bin/ffmpeg.exe"
    AudioSegment.ffmpeg = "ffmpeg/bin/ffmpeg.exe"
    AudioSegment.ffprobe = "ffmpeg/bin/ffprobe.exe"
    result_sound = AudioSegment.empty()
    for path in pathes:
        little_sound = AudioSegment.from_mp3(path)
        result_sound += little_sound
        result_sound.export(os.getcwd() + "\\result_audio.mp3", format="mp3")


def get_audio_url():
    url = "http://httpbin.org/post"
    file_path = os.getcwd() + "\\result_audio.mp3"
    response = requests.post(url, files={"audio": open(file_path, 'rb')})
    json_response = response.json()
    audio = json_response['files']['audio']
    return audio


  


  requirements :

  


  anyio==3.5.0
asgiref==3.5.0
certifi==2021.10.8
charset-normalizer==2.0.12
click==8.0.3
colorama==0.4.4
coverage==6.3.2
Django==4.0.4
dnspython==2.2.1
email-validator==1.1.3
ffprobe-python==1.0.3
Flask==2.0.2
gunicorn==20.1.0
h11==0.12.0
httpcore==0.13.7
httpx==0.18.2
idna==3.3
itsdangerous==2.0.1
Jinja2==3.0.3
MarkupSafe==2.0.1
pydantic==1.9.0
pydub==0.25.1
python-dateutil==2.8.2
pytz==2021.3
pyuploadcare==3.0.0
requests==2.27.1
rfc3986==1.5.0
six==1.16.0
sniffio==1.2.0
sqlparse==0.4.2
typing-extensions==3.10.0.2
tzdata==2022.1
urllib3==1.26.9
Werkzeug==2.0.3

ffprobe~=0.5


  


  Procfile :
web : gunicorn app:app

  


• tests/Makefile : Add auxiliary functions for transcode and stream_remux

  12 avril 2022, par Andreas Rheinhardt

  tests/Makefile : Add auxiliary functions for transcode and stream_remux
  Tests using the transcode and stream_remux functions have some common
  
  requirements (namely the file and pipe protocols as well as the framecrc
  
  muxer) and also other commonalities : The create a file and read it
  
  immediately afterwards, so that they typically rely on a corresponding
  
  muxer+demuxer pair which typically shares the same name ; for transcode
  
  (if it does not use stream copy) the same is true for encoders and
  
  decoders. This means that using special Makefile-functions instead
  
  of the general ALLYES is worthwhile. This commit adds such functions.
  These functions allow to add arbitrary CONFIG-checks on top of the
  
  aforementioned ones in order to satisfy special needs (for e.g. parsers,
  
  filters) that several intended users have.
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
  

  • [DH] tests/Makefile