Google Cloud Text To Speech
Leocricia Flinchum
I registered myself for the google cloud text-to-speech service recently. Speech Studio worked just fine for the first few days, but today, to my dismay, there is distortion in the text reader's voice.
Genesys Enhanced TTS is the optional Genesys Cloud text-to-speech engine. Your organization is not billed for this feature unless you use it. After you accept the terms and conditions from the AppFoundry, you can select Genesys Enhanced TTS in voice and bot flows. For more information, see Select a TTS engine and voice for a flow. This feature is PCI DSS compliant and you can use it in secure call flows. For more information, see PCI DSS compliance.
Install the Google Cloud Text-to-Speech integration and then configure it for use with Genesys Cloud. This feature is PCI DSS compliant. You can use this integration in secure call flows. For more information, see PCI DSS compliance.
Install the Microsoft Azure Cognitive Services text-to-speech (TTS) integration and then configure it for use with Genesys Cloud. This feature is PCI DSS compliant. You can use this integration in secure call flows. For more information, see PCI DSS compliance.
Install the Nuance Text-to-Speech integration and then configure it for use with Genesys Cloud. This feature is PCI DSS compliant. You can use this integration in secure call flows. For more information, see PCI DSS compliance.
Genesys empowers more than 7,500 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements.
Our client libraries follow the Node.js release schedule.Libraries are compatible with all current active and maintenance versions ofNode.js.If you are using an end-of-life version of Node.js, we recommend that you updateas soon as possible to an actively supported LTS version.
Client libraries targeting some end-of-life versions of Node.js are available, andcan be installed through npm dist-tags.The dist-tags follow the naming convention legacy-(version).For example, npm install @google-cloud/text-to-speech@legacy-8 installs client librariesfor versions compatible with Node.js 8.
This library is considered to be stable. The code surface will not change in backwards-incompatible waysunless absolutely necessary (e.g. because of critical security issues) or withan extensive deprecation period. Issues and requests against stable librariesare addressed with the highest priority.
Please note that this README.md, the samples/README.md,and a variety of configuration files in this repository (including .nycrc and tsconfig.json)are generated from a central template. To edit one of these files, make an editto its templates indirectory.
I first split text on any punctuation that causes a break in speaking. Each "sentence" is converted to speech separately. The resulting audio files have a seemingly random amount of silence at the end which needs to be removed before joining them, this can be done with the FFmpeg silencedetect filter. You can then join the audio files with an appropriate gap. Approximate word timestamps can be linearly interpolated within the sentences.
IBM Watson Text to Speech is an API cloud service that enables you to convert written text into natural-sounding audio in a variety of languages and voices within an existing application or within watsonx Assistant. Give your brand a voice and improve customer experience and engagement by interacting with users in their native language. Increase accessibility for users with different abilities, provide audio options to avoid distracted driving, or automate customer service interactions to eliminate hold times.
Provides large and security-sensitive firms with more capacity and data protection. The Premium version includes custom-branded neural voice and a 99.9% high availability and service level uptime guarantee.
Deploy behind your firewall or on any cloud with the flexibility of IBM Cloud Pak for Data. The Deploy Anywhere version includes unlimited characters per month, 35 neural voices, and 16 supported languages and dialects.
Genesys Cloud includes a default Genesys TTS engine that includes voice and language options, and also an enhanced TTS engine. However, you can add third-party TTS engine integrations and then select voice and language options. These integrations expand language options and enable you to select a TTS voice for the organization, serving callers across built-in applications with the most appropriate voice.
In addition, Architect can now integrate with these third-party solutions for text-to-speech playback on a per-flow basis. For a specific flow, you can also configure TTS engine and voice options for each language you include in the flow. Notes:
- Because not all TTS engines operate the same way, Genesys and third-party TTS engine playback performance may vary depending on language, dialect, and voice. Perform testing to ensure you find the best solution for your use case, or contact your solutions consultant. For more information on third-party TTS engine performance, see Test your third-party TTS engine playback.
- Only third-party TTS solutions are supported in the US East 2 (Ohio)/FedRAMP region.
- Only PCI-certified third-party solutions are available in Architect secure call flows. Secure call flows can only use the Genesys TTS engine, Genesys Enhanced TTS, Amazon Polly TTS, Google Cloud Text-to-Speech, Microsoft Azure Cognitive Services Text-to-Speech, or Nuance Text-to-Speech.
The Generate Speech tool enables you to paste or type text, and generate a realistic voice-over or narration track. The tool uses the libraries available in your Operating System. Use this tool to create synthesized voices for videos, games, and audio productions.
Speech Generation on Mac uses a different underlying speech synthesis engine than Windows. Both engines are provided by the respective operating system and are not cross-platform compatible. As such, the XML tags that Windows supports in its engine are not compatible on Mac, and vice versa for the tag format that Mac supports.
In the Generate Speech dialog box, you can select the language, gender, and voice of the speech to synthesize. In macOS and Windows, you can find additional voices in the following ways:
This script defines a synthesize_speech function that takes a text string and an output filename as arguments. It uses the Google Cloud Text-to-Speech API to convert the text into speech and saves the resulting audio as an MP3 file.
You can customize the voice and audio settings by modifying the voice and audio_config variables in the synthesize_speech function. For example, to change the language, replace en-US with a different language code (such as es-ES for Spanish). To change the gender, replace texttospeech.SsmlVoiceGender.FEMALE with texttospeech.SsmlVoiceGender.MALE. For more options, refer to the Text-to-Speech API documentation.
These configuration parameters can be combined in various ways to create custom configurations that best suit specific use cases. For example, a developer could configure the API to transcribe a phone call in Spanish using a specific transcription model and a custom list of speech contexts to improve accuracy.
Google Cloud Text-to-Speech API allows developers to include natural-sounding, synthetic human speech as playable audio in their applications. The Text-to-Speech API converts text or Speech Synthesis Markup Language (SSML) input into audio data like MP3 or LINEAR16 (the encoding used in WAV files).
Remember the project ID, a unique name across all Google Cloud projects (the name above has already been taken and will not work for you, sorry!). It will be referred to later in this codelab as PROJECT_ID.
Note: If you're using a Gmail account, you can leave the default location set to No organization. If you're using a G Suite account, then choose a location that makes sense for your organization.
Running through this codelab shouldn't cost much, if anything at all. Be sure to to follow any instructions in the "Cleaning up" section which advises you how to shut down resources so you don't incur billing beyond this tutorial. New users of Google Cloud are eligible for the $300USD Free Trial program.
If you've never started Cloud Shell before, you'll be presented with an intermediate screen (below the fold) describing what it is. If that's the case, click Continue (and you won't ever see it again). Here's what that one-time screen looks like:
This virtual machine is loaded with all the development tools you'll need. It offers a persistent 5GB home directory and runs in Google Cloud, greatly enhancing network performance and authentication. Much, if not all, of your work in this codelab can be done with simply a browser or your Chromebook.
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