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stop_speaking_async does not work #19757

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oliverguhr opened this issue Jul 12, 2021 · 3 comments
Closed

stop_speaking_async does not work #19757

oliverguhr opened this issue Jul 12, 2021 · 3 comments
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bug This issue requires a change to an existing behavior in the product in order to be resolved. Client This issue points to a problem in the data-plane of the library. Cognitive - Speech customer-reported Issues that are reported by GitHub users external to the Azure organization. needs-team-attention Workflow: This issue needs attention from Azure service team or SDK team Service Attention Workflow: This issue is responsible by Azure service team.

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@oliverguhr
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  • Package Name: azure-cognitiveservices-speech
  • Package Version: 1.17.0
  • Operating System: Linux
  • Python Version: Python 3.8.10

Describe the bug
The stop_speaking_async (and stop_speaking) do not stop the audio output as described in the documentation

To Reproduce
Steps to reproduce the behavior:

  1. replace your API credentials
  2. run this code
import time
from azure.cognitiveservices.speech import AudioDataStream, SpeechConfig, SpeechSynthesizer, SpeechSynthesisOutputFormat
from azure.cognitiveservices.speech.audio import AudioOutputConfig


def main():
    speech_config = SpeechConfig(subscription="", region="")
    audio_config = AudioOutputConfig(use_default_speaker=True)
    synthesizer = SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
    print("speak")
    text = "This is a very very very very very very very very very very very very very very very very long text."
    _ = synthesizer.start_speaking_text_async(text)
    print("sleep")
    time.sleep(1)
    print("stop")
    _ = synthesizer.stop_speaking_async()
    print("done")
   

main()

Expected behavior
The method stop_speaking_async should stop the audio output.

@ghost ghost added needs-triage Workflow: This is a new issue that needs to be triaged to the appropriate team. customer-reported Issues that are reported by GitHub users external to the Azure organization. question The issue doesn't require a change to the product in order to be resolved. Most issues start as that labels Jul 12, 2021
@xiangyan99 xiangyan99 added bug This issue requires a change to an existing behavior in the product in order to be resolved. Client This issue points to a problem in the data-plane of the library. Service Attention Workflow: This issue is responsible by Azure service team. labels Jul 12, 2021
@xiangyan99
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Thanks for the feedback, we’ll investigate asap.

@ghost ghost removed the needs-triage Workflow: This is a new issue that needs to be triaged to the appropriate team. label Jul 12, 2021
@xiangyan99 xiangyan99 added Cognitive - Speech and removed question The issue doesn't require a change to the product in order to be resolved. Most issues start as that labels Jul 12, 2021
@ghost ghost added the needs-team-attention Workflow: This issue needs attention from Azure service team or SDK team label May 20, 2022
azure-sdk pushed a commit to azure-sdk/azure-sdk-for-python that referenced this issue Aug 19, 2022
dev-Sentinel-2022-08-01 (Azure#20290)

* Adds base for updating Microsoft.SecurityInsights from version stable/2021-10-01 to version 2022-08-01

* Updates readme

* Updates API version in new specs and examples

* Add MITRE support to alert rules models (Azure#19757)

* Update version

* Fix lint diff error

Co-authored-by: Lilyan Cohen <[email protected]>

Co-authored-by: lilyanc02 <[email protected]>
Co-authored-by: Lilyan Cohen <[email protected]>
@yulin-li
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yulin-li commented Oct 8, 2022

@oliverguhr, thank you for reporting this issue, and I can repro it. We will fix this.

@yulin-li
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yulin-li commented Oct 8, 2022

Closing this issue and tracking it in Azure-Samples/cognitive-services-speech-sdk#1686

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Labels
bug This issue requires a change to an existing behavior in the product in order to be resolved. Client This issue points to a problem in the data-plane of the library. Cognitive - Speech customer-reported Issues that are reported by GitHub users external to the Azure organization. needs-team-attention Workflow: This issue needs attention from Azure service team or SDK team Service Attention Workflow: This issue is responsible by Azure service team.
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