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Is it possible, programatically, to take someone's voice sample and produce a unique tone/property that could be used to create a synthesised speech?
For example, person A records himself. A unique tone is produced from this voice sample, and is being turned into synthesis speech. This allows people to use this synthetic voice in Text-to-Speech software, writing any text that they want that would be read in person A's voice.
Is it possible in today's terms? I know that there are companies that do this professionally, but generally, is it possible for a piece of software to do this?
Using speaker adaptation methods you can achieve some results with comparably few training samples but still you should have some hundred sentences of the person - preferably with a phonetic transcription.
We once had this as a small lab exercise for students to record their own voices and train a voice model using HTS (http://hts.sp.nitech.ac.jp/).
The "most simple" approach using HTS is to download the "Speaker dependent training demo" from this page and replace the training speech samples with your own recordings (of the same sentences!).
We did this for another language with our own package though.
I think MaryTTS (http://mary.dfki.de/) has some more convenient tools to assist with this process but I've never worked with that.
But still - for high quality voices, you should have thousands of recorded sentences.
In 2021 and beyond I suggest to use mozilla/tts which is the best if you want to step in and use an existing, proven stack.
Seven years later, you can use your voice for text-to-speech:
Overdub: Ultra realistic text to speech voice cloning
https://www.descript.com/overdub
There was a Bloomberg documentary about "Lyrebird", a neural network that can learn your voice and then you can make new sentences with it. Descript was founded by the people who made Lyrebird and now offers this service, and non-linear editing for synthesized audio.
Link to the Bloomberg documentary on YouTube: https://www.youtube.com/watch?v=VnFC-s2nOtI
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I just completed data science topic i want to fo a mini project in data science can anyone suggest me a project . I searched a lot in google but i not found any projects can anyonr suggest a project
The beauty of data science is that the project can be anything you're curious about. To figure out what kind of project you want to tackle, what kind of questions do you want to know the answers to?
At the top of my head, you could explore:
the various COVID related data try to find any insights or simply
the price differences of peaches around different areas of Atlanta,
GA
is there a particular skill you want to improve such as time series analysis, classification, or regression?
Find a question you want to answer or a project that will improve your skill in a certain area.
Try this project :
https://www.udemy.com/course/data-science-hands-on-1-hour-project-on-deep-learning/
The Hands on project is currently free on Udemy. It uses Image localization techniques to build, train and test deep learning model for autonomous vehicles. Try changing the data set and try something more innovative liks skin cancer detection or text detection. Try it once.
Try creating a project on no of accidents happened in your country or state, due to different conditions like natural calamities or human mistakes or due to animals and predict the no of cases for the next upcoming year.
Try creating a time series analysis project on covid - 19.
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I have confusion in understanding the difference between iterative and incremental software process model?
what is the main reason of making these two software model if they both works same?
It's not that kind of difference to have an iterative process or an incremental process. Models use the terms to describe the process, but there are models that are both incremental and iterative.
See https://www.testingexcellence.com/iterative-incremental-development-agile/
There is a software design principal: Design iteratively, build incrementally.
From Wikipedia:
Iterative design is a design methodology based on a cyclic process of
prototyping, testing, analyzing, and refining a product or process.
...
The process should be repeated until user issues have been reduced to
an acceptable level.
From Righting Software by Juval Lowy:
While the car company may have had a team of designers designing a car
across multiple iterations, when it is time to build the car, the
manufacturing process does not start with a skateboard, grow that to a
scooter, then a bicycle, then a motorcycle, and finally a car.
Instead, a car is built incrementally. First, the workers weld a
chassis together, then they bolt on the engine block, and then they
add the seats, the skin, and the tires. They paint the car, add the
dashboard, and finally install the upholstery.
There are two reasons why you can build only incrementally, and not
iteratively. First, building iteratively is horrendously wasteful and
diffi cult (turning a motorcycle into a car is much more diffi cult than
just building a car). Second, and much more importantly, the
intermediate iterations do not have any business value. If the
customer wants a car to take the kids to school, what would the
customer do with a motorcycle and why should the customer pay for it?
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Can someone give me an intuitive explanation for why we use word embeddings and how neural networks make this process easier and better?
Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.
There are many branches and many research groups working on word embeddings. In 2013, a team at Google led by Tomas Mikolov created word2vec, a word embedding toolkit which can train vector space models faster than the previous approaches.Most new word embedding techniques rely on a neural network architecture instead of more traditional n-gram models and unsupervised learning.
Why do newer methods rely on neural networks? Mostly because they can solve the problem faster and more efficiently. Part of the reason for this is neural architectures take the whole sorted sequence into account, and not each word in isolation.
For a more detailed explanation, you probably want to do some research. Reading this blog post might be a good start.
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What can you do after learning big data related concepts, Hadoop, ML, NLP etc? Where can you implement these?
Not really a software related question - but it's very relevant to current technology and why some software exists. So here is an opinion.
We now live in a world where it is possible to monitor and digitally record information on an epic scale that continues to expand with concepts like The Internet of Things.
With this information it becomes possible to look at the evidence behind decisions that previously would have been made by gut instinct or opinions. What impact does road design have on traffic flow? Which medical drugs get best results in the real world and not just in drugs trials? Is there a correlation between office temperature and productivity? and so on for millions of questions in different domains.
Around the world, organisations are using data they never previously had, to get better at whatever they do (Good or bad).
The big data concepts are the tools for managing all this information. Big Data is not just large in volume, it is often unstructured and in different forms.
So to answer your question. You can implement these concepts by working with organisations that are using Big Data. Hopefully you can see the potential of Big Data along with the mind bending headache it can create when trying to make sense of it.
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R can be very useful for prototyping and some exploratory work. However, I'd like to know what kind of on-line or real-time applications have you (the SO reader) successfully deployed using R and why did you choose R for that task.
Questions:
What kind of problem did it solve? (trending, analysis, etc.)
Why did you choose R over other programming languages? (pros/cons: speed, scaling, etc.)
I'm looking for first-hand experiences, so please do not answer unless you have that.
The breadth of applications is beyond the scope of StackOverflow.
Suppose I said that Java is a fine language for mucking around with APIs, but can anyone point to where it's used in the real world for real deployments? The list would be rather large, with, I kid you not, at least dozens of examples.
If you wish to see examples of real world use, stop by the Bay Area R Users Group, which has had presentations # or by people from Google, Facebook, LinkedIn, Twitter, and more. There are smaller offshoots in NYC, LA, Chicago, London, and elsewhere (there are even Aussies and Kiwis who use R).
So, the best solution to see documented usage is to go to Meetup.com, search for [city] R user group, and identify a Meetup, then select "Past" to see past presentations.