![]() There’s another Google solution, which is called **Google Cloud Contact Center AI **(CCAI). But when you are an enterprise, that whole ecosystem might be overkill.įor an enterprise who wants to integrate a voice AI in their own apps, the full Google Assistant ecosystem might be an overkill. ![]() That ecosystem is nice if you are building consumer or campaign apps (voice actions), that everyone can find by invoking it through the Hey Google, talk to my app wake phrase. With Text to Speech (TTS), you can send text or SSML (text with voice markup) input and it will return audio bytes, which you can use to create an mp3 file or directly stream to an audio player (in your browser).Ĭompared to the Google Assistant, by extending your apps with a conversational AI manually with the above tools, you no longer are part of the Google Assistant ecosystem. STT is very powerful, as the API call response will return the written transcript with the highest confidence score, and it will return an array with alternative transcript options. You could also combine it with Dialogflow chatbots (detect intent from text transcripts) to synthesize the chatbot answers, however STT doesn’t do intent detection like Dialogflow does. This is great for when you want to generate subtitles in a video, generate text transcripts from meetings, etc. Speech to Text (STT) transcribes spoken words to written text. Even the API calls look similar! However those services are different, and they have been used in separate use cases. The intent with the best match (highest confidence score), will return the answer, which could be a text response or a response from a system through a fulfillment.Īlthough many of us will use Dialogflow with text input, for web or social media chatbots, it is also possible to do intent matching with your voice as audio input, and it can even return spoken text (TTS) as an audio result.ĭialogflow speech detection & output will have some overlap with Cloud Speech to Text API (STT) and Cloud Text to Speech (TTS). Then, it will check the Dialogflow agent, which contains intents (or chat flows), based on the training phrases. The way how Dialogflow intent detection works is, it first tries to understand the user utterance. It uses Machine Learning models such as Natural Language Understanding to detect the intentions of a conversation. ![]() Dialogflow versus Text-to-Speech API versus Speech-to-Text APIĭialogflow is an AI-powered tool for building text and voice-based conversational interfaces such as chatbots and voice apps.
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