![]() You can also create your own custom voice, based on a voice talent’s recordings, to develop a unique rendering, powered by machine-learning. However, doing this requires time-consuming manual inputs. On all services, using the API or the console, you can add SSML tags to your texts to insert pauses and other pronunciation instructions, which can in turn improve the expressivity of the performance. Can you control the expressivity of synthetic voices? I also used AudioHijack to capture the MP3 recording. Guy has a second voice option (Newscast) but it didn’t really fit the use case. A glaring issue is that he doesn’t understand that he’s reading a poem, a feat which requires much more emotion than reciting a training manual. Guy isn’t an accomplished actor but in my opinion he performs marginally better than his silicon colleagues. Here’s the test rendered by WaveNet Voice D. The most advanced synthetic voices at Google are named WaveNet voices, powered by machine learning algorithms. You can test Google’s text-to-speech offering on ![]() As a bonus, we’ll conclude the review with a human recording. The text prompt will be a poem by Thomas Hardy: “She Opened The Door”. There will obviously be differences due to the tone of voice but I’ve tried to pick the best example for each provider. The purpose of this article is to give you my honest opinion about the way they render human voice based on the same text prompt.įor the sake of this quick experiment, I will use a male voice for all three services. Since I’m passionate about the possibilities of AI-assisted creative automation, I tested the three leading text-to-speech engines: Amazon Polly, Microsoft Azure Cognitive Services and Google Cloud. What does a synthetic voice sound like today? The original 1980s sound had become part of his public persona. Despite the advances in text-to-speech synthesis, Stephen Hawking refused to upgrade his voice.
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