Expertise in Speech to Text / Natural Language Open Source Code

Have previously used almost all open source speech to text libraries. Would like to know more about the possible voice commands and desired level of accuracy etc. to check the feasibility basis the previous experience Looking forward to hearing back from you !

Hi We can make use of RNN for speech recognition. Their are many different versions of LSTMs and GRUs for speech processing. Lets discuss I have been working on Machine Learning Regression, SVM, Decsion Trees and Deep Learning RNN, CNN and GANs

i have worked in Natural language processing in text and speech both using different API like Freetts and Sphinx. also worked on different text processing algorithms.

I have a few queries: 1. Voice recognition can depend on accents it is difficult to recognize all the accents. So do you have enough data points to train the system for the target accent? 2. You mentioned about MEMS microphone and speaker but you did not tell about the Computational unit - Is it going to be a full blown computer or a miniature computer unit such as Raspberry PI? **** This is an important factor to decide on the open source speech recognition system **** 3. You mentioned about the capability to use Siri etc. For that we just need to tap into their APIs. I am Pranav Patil, representing Iristechsys Software Services LLP, an ISO 9001:2015 company based out of Pune, India. My Linked-In profile will provide you overview of my experience. My experience is mostly in Convutional Neural Networks for Image processing but the foundation for speech synthesis remains the same, if you plan to use DNNs. Prima facie I think SPHINX from CMU would be the most suitable for your approach. Alternatively if you can afford a heavy weight processing engine in your product then it is better to go with Deep Neural Networks using Kaldi.

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I am working on speech products, weather it is Speech to Text or Text to Speech, from last few years. I have experience of doing it by using open source tools like Kaldi, Tensorflow, Pytorch and Python. I have successfully deployed the solution on client ends. So I think I can build on premise speech solution without going to any third party APIs like watson etc.