Play.ht offers some of the best AI voices to help you create realistic AI voiceovers for your videos, presentations, education and other projects. Play.ht's state-of-the-art Text to Speech editor allows you to create the voiceover according to your needs. You can use multiple AI voices to create conversation-like audio and use full SSML features to enhance your audio.
Play.ht also allows you to embed and distribute your audio files. You can embed the audio using our audio player widgets to increase accessibility on your articles or web-pages. You can use our Podcasting solution to distribute your audio files as podcasts to iTunes and Spotify.
Try Play.ht for free - https://play.ht/
Based on our record, Play.ht should be more popular than TensorFlow. It has been mentiond 67 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Next, for text-to-speech (TTS), tools like Play.ht give you lifelike voices with custom accents and tone controls, while OpenVoice lets you clone voices like you’re building your own mini Morgan Freeman. - Source: dev.to / about 1 month ago
PlayHT: Over 900 voices across 142+ languages with voice cloning features. - Source: dev.to / about 1 month ago
### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to... - Source: Hacker News / 8 months ago
There aren't really any models that produce realistic real-time voice. I'd recommend ElevenLabs or play.ht, sadly these seem to be the only useable options for now. Source: over 1 year ago
I've used play.ht before. Very easy to use. Source: almost 2 years ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
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