Cognitive-Speech-TTS | Microsoft Text-to-Speech API sample code | Speech library

 by   Azure-Samples C# Version: 235875 License: Non-SPDX

kandi X-RAY | Cognitive-Speech-TTS Summary

kandi X-RAY | Cognitive-Speech-TTS Summary

Cognitive-Speech-TTS is a C# library typically used in Artificial Intelligence, Speech applications. Cognitive-Speech-TTS has no bugs, it has no vulnerabilities and it has low support. However Cognitive-Speech-TTS has a Non-SPDX License. You can download it from GitHub.

page_type: sample description: "Samples in various languages for using Text-to-Speech." languages:.

            kandi-support Support

              Cognitive-Speech-TTS has a low active ecosystem.
              It has 635 star(s) with 463 fork(s). There are 92 watchers for this library.
              It had no major release in the last 12 months.
              There are 8 open issues and 101 have been closed. On average issues are closed in 102 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Cognitive-Speech-TTS is 235875

            kandi-Quality Quality

              Cognitive-Speech-TTS has 0 bugs and 0 code smells.

            kandi-Security Security

              Cognitive-Speech-TTS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Cognitive-Speech-TTS code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Cognitive-Speech-TTS has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Cognitive-Speech-TTS releases are available to install and integrate.
              Cognitive-Speech-TTS saves you 1450 person hours of effort in developing the same functionality from scratch.
              It has 3238 lines of code, 143 functions and 123 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Cognitive-Speech-TTS
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            Cognitive-Speech-TTS Key Features

            No Key Features are available at this moment for Cognitive-Speech-TTS.

            Cognitive-Speech-TTS Examples and Code Snippets

            No Code Snippets are available at this moment for Cognitive-Speech-TTS.

            Community Discussions


            UnicodeDecodeError: 'ascii' codec can't decode byte (microsoft API)
            Asked 2021-Mar-15 at 20:40

            I'm trying to parse some text to use in write some text which contains special characters (my code is written in Python 2.7) and keep on having the same ascii error. Here's what I have so far:

            first line:



            Answered 2021-Mar-15 at 20:40

            I can't reproduce your problem with the following (simplified but runnable) code snippet:



            Azure Text to Speech - Not writing to MP3 file using Node.js
            Asked 2020-Sep-11 at 18:51

            I am trying to create an MP3 file using Azure Text to Speech. The node file runs, but nothing gets created or outputted. The Node.js docs files and example aren't too good





            Answered 2020-Sep-11 at 18:51

            Here is a minimal working project: azure-text-to-speech

            It's almost identical to the sample provided in Microsoft documentation.
            I've just modified some imports to make it run and also added output format settings (since you've mentioned that you want MP3 and the default is WAV).



            Loading Azure Text to Speech output to Azure Blob
            Asked 2020-Sep-10 at 06:14

            I need some guidance. My Azure function (written in node.js) will convert some random text to speech and then upload the speech output to a Blob. I will like to do so without using an intermediate local file. BlockBLobClient.upload method requires a Blob, string, ArrayBuffer, ArrayBufferView or a function which returns a new Readable stream, and also the content length. I am not able to get these from the RequestPromise object returned by call to TTS (As of now I am using request-promise to call TTS). Any suggestions will be really appreciated.

            Thank you

            Adding a code sample that can be tested as "node TTSSample.js" Sample code is based on

            1. Azure Blob stream related code shared at

            2. Azure Text to speech sample code at

            3. Replace appropriate keys and parameters in the enclosed settings.js

            4. I am using node.js runtime v12.18.3

            5. Input text and the output blob name are hard coded in this code sample.



            Answered 2020-Sep-10 at 06:14

            Regarding the issue, please refer to the following code


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Cognitive-Speech-TTS

            You can download it from GitHub.


            Azure TTS wikiAzure Speech DocumentCreate Custom Neural VoiceSpeech SDKAzure Speech Containers
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