AssemblyAI

SEPTEMBER 12, 2023

Automatic Speech Recognition, or ASR, is the use of Machine Learning or Artificial Intelligence (AI) technology to process human speech into readable text. Already, Speech-to-Text APIs like AssemblyAI are making ASR technology more affordable, accessible, and accurate.

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Unite.AI

JANUARY 22, 2024

I started out working for one of the earliest digital music platforms when the Internet was just taking off. From there I joined Tellme Networks, a company started by Netscape and Microsoft engineers who had developed the first consumer voice platform for speech recognition. This thought process led to the idea of Remix AI.

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AssemblyAI

OCTOBER 19, 2023

Join Us On Discord 🇨🇳🇮🇳🇷🇺 Multilingual Speech-to-Text  AssemblyAI now supports transcription across 20+ languages, including Chinese, Hindi, Russian, Turkish, and Vietnamese. Rivet  announced the new  AssemblyAI integration  in its latest release.

Python 130

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Unite.AI

JUNE 26, 2023

Since then, he has been fired and Google has called his claims “wholly unfounded” Given how rapidly technology is evolving, we may only be a few decades away from achieving AI consciousness. Why does it exist? What does it do? How could it possibly arise from lumpy gray matter?” What Is Consciousness?

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Unite.AI

JANUARY 31, 2024

Advances not only in transformer-based large language models (LLMs) but in automatic speech recognition (ASR) and text-to-speech (TTS) systems mean that “next-generation” voice-based agents are here – if you know how to build them. What makes a good voice-based agent? Accurate: Based on the facts (e.g.,

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IBM Journey to AI blog

FEBRUARY 23, 2024

Several natural language subprocesses within NLP work collaboratively to create conversational AI. In addition, ML techniques power tasks like speech recognition, text classification, sentiment analysis and entity recognition. Today, people don’t just prefer instant communication; they expect it.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. You can also do ASR using Amazon Transcribe ,a fully-managed and continuously trained automatic speech recognition service. OpenAI Whisper foundation models Whisper is a pre-trained model for ASR and speech translation.

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AssemblyAI

OCTOBER 6, 2023

Using real-time transcription you can build features like automated subtitles for live speeches, presentations, etc. In this tutorial, we will learn how to perform real-time transcription in Python using only 15 lines of code. Data handler First, we define how to handle incoming data.

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AssemblyAI

AUGUST 29, 2023

But how do these top conversation AI tools and features actually work? How does Conversation AI work? This diagram breaks down how a typical Conversation AI workflow looks, from the user asking “Hi, I forgot my account password.

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Viso.ai

DECEMBER 20, 2023

This means that data scientists have marked each data point in the training set with the correct label (e.g., “cat” or “dog”) so that the algorithm can learn how to predict outcomes for unforeseen data and accurately identify objects in new image data. from a set of images. to an image.

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Unite.AI

JULY 14, 2023

This comprehensive review looks at Pictory, a revolutionary AI video creator that will change how you create and edit videos. Get ready to discover how Pictory can be the ultimate tool to take your video creation to new heights! It’ll show you how many are in the text and allow you to delete them. So why wait?

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Flipboard

MARCH 7, 2023

These systems act as guides for students, and as they read a text, analyze their speech to identify the proficiency level of the reader. They try to replicate the experience of a teacher listening carefully and identifying potential problem areas in comprehension, pronunciation and letter recognition. Keep going,” Amira says, softly.

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Mlearning.ai

JANUARY 27, 2023

In our object recognition app mentioned in the previous article, an “ideal error rate” — that is, one achieved by an ideal recognizer such as a human would be almost 0%. Why does an ideal recognizer such as a human get perfect performance? In the speech recognition example above, it is 14%. Let’s see this in this article.

Machine Learning 52

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Viso.ai

DECEMBER 19, 2023

How Does Image Classification Work? Differing in form, data could be speech, text, image, or a mix of any of these. It uses AI-based deep learning models to analyze images with results that for specific tasks already surpass human-level accuracy (for example, in face recognition ). About us: Viso.ai

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Towards AI

AUGUST 11, 2023

Plus, it can even work with images to some extent. Last Updated on August 12, 2023 by Editorial Team Author(s): Aditya Anil Originally published on Towards AI. What is it hinting to us? Image: Bing Image Creator + Canva I. A year later, DeepMind created AlphaGo, which went on to beat Fan Hui, the European Go champion. What is it hinting at?

OpenAI 96

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AssemblyAI

MARCH 8, 2023

Note that background level in AI may dictate how useful some of the playgrounds are, though all should be accessible on some level to the general public. The models’ training data also does not include any data post-2021, so may lack understanding of current events. Why are these AI-powered tools becoming so popular?

Machine Learning 147

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AWS Machine Learning Blog

MAY 19, 2023

In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon Textract and Amazon Polly , we showed you our Text to Speech application called “Read for Me”. The third Lambda function called extract_text handles text-to-speech utilizing Amazon Textract, and Amazon Comprehend.

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Towards AI

APRIL 15, 2023

Uncover the Extraordinary Potential of Self-Prompting AI Models and Their Role in Shaping Our Future Envision a scenario where an AI-powered army works collaboratively to identify tasks and solve a given problem efficiently. Of course, there is still much work to be done to fine-tune and improve the system’s performance on various levels.

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NVIDIA

JUNE 27, 2023

Co-founded in early 2022 by Mustafa and Karén Simonyan of DeepMind and Reid Hoffman, Inflection AI aims to work with CoreWeave to build one of the largest computing clusters in the world using NVIDIA GPUs. Excellence Running at Scale Training is typically a job run at scale by many GPUs working in tandem.

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Heartbeat

APRIL 17, 2023

One of the goals of ML is to enable computers to process and analyze data in a way that is similar to how humans process information. What is Named Entity Recognition (NRE)? In this article, we will discuss how to perform Named Entity Recognition with SpaCy , a popular Python library for NLP. noun, verb, adjective).

NLP 52

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Mlearning.ai

JUNE 10, 2023

A step-by-step guide to use Whisper Models with real-time speech to text conversion on Apple Silicon machine on-prem Introduction Artificial intelligence has made significant strides in the field of speech recognition, enabling machines to transcribe spoken language with remarkable accuracy.

Machine Learning 52

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Towards AI

OCTOBER 25, 2023

This article is the first in a series of three blog posts explaining step-by-step how I built an AI assistant to summarize YouTube videos. In the final post, we will see how to demonstrate a solution prototype using Gradio and Hugging Face Spaces. In the creation of this tool, I used the Falcon large language model.

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Marktechpost

MARCH 6, 2024

With the ability to work in any language, it effortlessly transforms existing content into customizable assessments. Nuance’s Dragon Speech Recognition Nuance develops and sells voice recognition software for educational institutions. It does so with a 99% success rate.

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IBM Journey to AI blog

AUGUST 28, 2023

How does text mining work? Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., which is particularly useful for sentiment analysis and entity recognition. It also includes converting the text to lowercase to ensure consistency in the analysis stage.

Convolutional Neural Networks 143

Convolutional Neural Networks Data Mining Categorization Machine Learning 143

Viso.ai

APRIL 24, 2023

Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with image processing. In this article, we’ll discuss What OCR is and how it works, as well as The best tools, algorithms, and techniques for OCR. Get a demo here.

Computer Vision 52

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Unite.AI

AUGUST 28, 2023

But what does it truly mean to live in a world augmented by these “workers”? Deep learning techniques further enhanced this, enabling sophisticated image and speech recognition. Traditional software models worked on a clear pathway. They are not just answering questions; they are solving problems.

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Heartbeat

MARCH 22, 2023

Before building our model, we will also see how we can visualize this data with Kangas as part of exploratory data analysis (EDA). It has several text-processing libraries for tokenization, stemming, part-of-speech tagging, semantic reasoning, and many more tasks. To start using NLTK, you need to install it.

Natural Language Processing 52

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Pickl AI

OCTOBER 25, 2023

How Big Data and AI Work Together: Synergies & Benefits: The growing landscape of technology has transformed the way we live our lives. From voice assistant to automated mail replies to speech recognition, there are myriads of things where we deploy these technologies. Around 97.2% What is Big Data?

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O'Reilly Media

JANUARY 16, 2024

And by “chat” I mean the original sense of the word—to hold a back-and-forth verbal conversation with it just like how you would chat with a fellow human being. I wore standard Apple earbuds with a built-in mic and talked with ChatGPT just like how I would be talking to someone on the phone while driving.

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Google Research AI blog

MAY 15, 2023

In “ Larger language models do in-context learning differently ”, we aim to learn about how these two factors (semantic priors and input-label mappings) interact with each other in ICL settings, especially with respect to the scale of the language model that’s used. We also find that including more in-context examples (i.e.,

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers.

Machine Learning 81

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IBM Journey to AI blog

JULY 11, 2023

How does artificial intelligence benefit healthcare? That massive increase means we will likely see considerable changes in how medical providers, hospitals, pharmaceutical and biotechnology companies, and others in the healthcare industry operate.

Deep Learning 147

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AWS Machine Learning Blog

MARCH 25, 2024

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. Both Amazon Transcribe in batch mode and Amazon S3 use HTTP/1.1

Natural Language Processing 83

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Mlearning.ai

APRIL 21, 2023

", "qas": [ { "question": "What does the fox jump over?", SQuAD is one of the formats that work well with many LLMs. Part-of-Speech (POS) Tagging: POS tagging involves labeling each word in a sentence with its corresponding part of speech, such as noun, verb, adjective, or adverb.

LLM 52

LLM Large Language Models Natural Language Processing Computer Vision 52

Defined.ai blog

AUGUST 30, 2023

Stay with us for revelations that might revolutionize how you see AI. It identifies parts of speech, parses sentences to determine their structure, and breaks down phrases into their constituent parts. It’s about the relationship between words, how they come together to form meaning, and how context can shift this meaning.

Machine Learning 52

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Mlearning.ai

MAY 11, 2023

It does this by learning from a lot of examples of language that humans have written or spoken before. It does this by learning from a lot of examples of language that humans have written or spoken before. Neural Network Photo by Michael Dziedzic on Unsplash Imagine you have a big puzzle to solve, but you don’t know how to do it.

Neural Network 52

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Mlearning.ai

APRIL 24, 2023

The Coursera class is direct to the point and gives concrete instructions about how to use the Azure Portal interface, Databricks, and the Python SDK; if you know nothing about Azure and need to use the service platform right away I highly recommend this course. It will take a couple of months but it is worth it!

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