![]() Interested businesses can submit recordings of the voice they want to use to Google Cloud, and the AI will train a voice model that will then work with the TTS API much as it has with the Google-created options. Our TTS API has included a speech synthesis service with a static list of voices for some time, but now, with Custom Voice, moving beyond these predefined options is easier than ever.” Synthesized Speech “For businesses looking to build a strong brand identity, establishing a unique voice can help turn mobile app interactions or customer service based on interactive voice responses (IVR) into differentiated customer experiences. “It’s important for all companies to build a strong identity and brand association with their conversational AI systems and this starts with the synthetic voice,” Google Cloud speech product manager Calum Barnes explained in a blog post. ![]() Google appears to have worked out any technical or procedural issues with the feature ![]() The custom voice feature started beta testing a year and a half ago as part of the Google Cloud Contact Center AI release. Now, the clients can have the branded voice as part of the conversational AI platform, saying the lines it chooses without having to have a voice actor or spokesperson record new lines all of the time. But, Google’s library of voice models can’t include an ideal choice for every client wanting a voice identifiable as a kind of audio logo. Synthesizing voices using AI enables businesses to save time and resources on call centers and other interactions with customers. The voice models can be trained on recordings supplied by the client and integrated anywhere the business wants a branded voice AI, such as customer service or phone-based commerce. Google Cloud is giving business clients the option to train and deploy their own custom voices synthesized by its text-to-speech (TTS) API.
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