Data Science Dojo

MARCH 2, 2023

At PAW, attendees can learn about the latest advances in predictive analytics, including techniques for data collection, data preprocessing, model selection, and model evaluation. It is a premier conference focused on data science applications in various industries.

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Dataconomy

JULY 31, 2023

For those looking to generate top-notch voiceovers, various text-to-speech generators are available, and Murf AI stands out among the most favored ones. Continue reading to find out if Murf AI is the right answer to your text-to-speech requirements. This AI-powered voice generator comes with an array of beneficial features.

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Google Research AI blog

MARCH 6, 2023

Today, we are excited to share more about the Universal Speech Model (USM), a critical first step towards supporting 1,000 languages. USM is a family of state-of-the-art speech models with 2B parameters trained on 12 million hours of speech and 28 billion sentences of text, spanning 300+ languages.

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AssemblyAI

AUGUST 27, 2023

Choosing the best Speech-to-Text API , AI model, or open source engine to build with can be challenging. This post compares the best free Speech-to-Text APIs and AI models on the market today, including ones that have a free tier, to help you make an informed decision. Looking for a powerful Speech-to-Text API or AI model?

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Google Research AI blog

JUNE 7, 2023

Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. Such evaluation is a major bottleneck in the development of multilingual speech systems.

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Mlearning.ai

JUNE 5, 2023

What we need to train a model that converts speech into text from collecting data to inference Continue reading on MLearning.ai »

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Dataconomy

FEBRUARY 21, 2024

This project is uniquely tailored to address the linguistic and cultural diversity of India ( Image credit ) One notable feature of BharatGPT is its incorporation of speech-to-text capabilities, enhancing accessibility for users who may have limited literacy skills. Currently available for organizations.

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Towards AI

MAY 14, 2024

GPT-4o can directly input, plan, and output speech (previously, it relied on separate models for each of these, which added significant latency) and now can interact with speech, images, and video in real-time. Unlike speech, vision capabilities were already previously integrated directly into GPT-4V.

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AssemblyAI

JANUARY 24, 2024

This article examines what revenue intelligence is more closely and explores the different ways advanced Speech AI technology can enhance revenue intelligence platforms and features.   But first, what is Speech AI? Let’s look more closely at the top benefits Speech AI models can have for revenue intelligence.

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Data Science Dojo

JANUARY 19, 2024

It’s a collection of algorithms designed to recognize patterns, much like how our brain identifies patterns and learns from experiences. For example, Convolutional Neural Networks (CNNs) are used for image processing, while Recurrent Neural Networks (RNNs) are effective for sequential data like speech or text.

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Dataconomy

FEBRUARY 22, 2024

Voice AI tools Text-to-speech tools Text-to-speech tools leverage machine learning to generate human-like voice recordings from text input. WellSaidLabs – Text-to-speech with a focus on accurately conveying personality and emotion. These platforms enable taming massive digital content collections through AI.

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AssemblyAI

MARCH 3, 2024

Today, market research platforms are turning to AI models, such as AI Speech-to-Text, Audio Intelligence models, and Large Language Models (LLMs), to build suites of advanced analysis tools for their customers. Next, let’s look at the three ways market research platforms can benefit from leveraging Speech AI technology.

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Defined.ai blog

MAY 16, 2023

Automatic Speech Recognition (ASR) has become an essential application of artificial intelligence. ASR systems rely on large amounts of training data to learn to recognize speech accurately. Live data is speech data that is collected in real-life situations, such as phone conversations, meetings, or speaking to smart devices.

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Defined.ai blog

MAY 16, 2023

Automatic Speech Recognition (ASR) has become an essential application of artificial intelligence. ASR systems rely on large amounts of training data to learn to recognize speech accurately. Live data is speech data that is collected in real-life situations, such as phone conversations, meetings, or speaking to smart devices.

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Defined.ai blog

MAY 16, 2023

Automatic Speech Recognition (ASR) has become an essential application of artificial intelligence. ASR systems rely on large amounts of training data to learn to recognize speech accurately. Live data is speech data that is collected in real-life situations, such as phone conversations, meetings, or speaking to smart devices.

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Data Science Dojo

JUNE 14, 2023

Open AI with Speech Services : This utilizes OpenAI’s language models in speech-related applications. This integration enables the conversion of visual content into machine-readable text, opening possibilities for automated image analysis, content summarization, and more.

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Chatbots Life

MARCH 16, 2023

One area in which machine learning can have a dramatic positive impact is through call center data collection. Call center data collection can help measure the service experience’s quality and uncover trends that can be used for predictive analysis. Top call center data collection methods 1.

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AssemblyAI

OCTOBER 6, 2023

Now, with advancements in AI technology, many businesses are harnessing the power of Speech AI to build a more valuable sales intelligence platform for their customers. Below, we'll walk you through everything you need to know to leverage Speech AI for sales intelligence platforms and ways you can transform outdated workflows.

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Dataconomy

MAY 29, 2023

In their quest for effectiveness and well-informed decision-making, businesses continually search for new ways to collect information. QR codes have emerged as versatile tools for data collection, comprising patterns of black and white squares. Moreover, QR codes serve as a mechanism for data collection and analysis.

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Mlearning.ai

MAY 23, 2023

Speech recognition algorithms has the ability to understand natural language and allows us to interact with the machines in a natural way. One notable application of machine learning speech recognition algorithms can be observed in the legal field. Teachers leverage speech-to-text technology to enhance their instructional practices.

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Iguazio

SEPTEMBER 20, 2023

Sentiment140 (Twitter-based) A dataset of positive and negative Tweets that were automatically collected in a CSV format. LibriSpeech A dataset comprises 1,000 hours of English speech taken from audiobooks from the LibriVox project. The dataset is extracted from IMDb movie reviews and US regulated Form 8-K filings.

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Dataconomy

SEPTEMBER 19, 2023

Generate realistic and expressive AI voices using text-to-speech (TTS) and voice cloning. offers a vast collection of over 130 AI voices in various accents and tones. This versatile tool allows you to generate AI-powered speech for a wide array of applications, from videos and presentations to podcasts and audiobooks.

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Smart Data Collective

SEPTEMBER 19, 2019

Text to speech technology is a prime example. Text to speech technology predates machine learning by over a century. The Progression of Text to Speech Technology in the Machine Learning Era. Thus, it comes as no surprise that the Text-to-Speech (TTS) technology is also rapidly becoming popular.

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Dataconomy

JANUARY 16, 2024

The goal is to capture the individual’s unique vocal characteristics, intonation, accent, and speech patterns. Once the learning phase is complete, the AI model can generate new speech that mimics the voice of the celebrity, even saying words or sentences that the celebrity never actually spoke.

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AssemblyAI

OCTOBER 10, 2023

The speech and voice recognition market is expected to grow to nearly $60 billion by 2030 , thanks to recent advances in AI research that have made speech recognition models more accurate, accessible, and affordable than ever before.    What are Automatic Speech Recognition (ASR) models?

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Data Science Dojo

JANUARY 21, 2024

It is the process of identifying, collecting, and producing electronically stored information (ESI) in response to a request for production in a lawsuit or investigation. NLP enables computers to understand, interpret, and generate human language, including speech. EDiscovery plays a vital role in legal proceedings.

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Flipboard

APRIL 28, 2023

Also, AI collects data to learn more about your users so you can deliver the best experience. Speech AI is behind virtual assistants that help businesses improve customer interactions. This technology uses automatic speech recognition (ASR) and natural language processing (NLP) to understand and provide what users want.

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Dataconomy

OCTOBER 9, 2023

Furthermore, tools like speech recognition and text-to-speech can aid learners with disabilities, promoting inclusivity. Data Privacy: AI systems rely heavily on the collection and analysis of vast amounts of data, leading to serious concerns about data privacy and protection.

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Data Science 101

JANUARY 17, 2020

Amazon Builders’ Library is now available in 16 Languages The Builder’s Library is a huge collection of resources about how Amazon builds and manages software. AI Powered Speech Analytics for Amazon Connect This video walks thru the AWS products necessary for converting video to text, translating and performing basic NLP.

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AssemblyAI

JANUARY 23, 2024

Conversation Intelligence platforms build these tools on top of Speech AI models such as Speech-to-Text transcription, Summarization, Topic Detection, Sentiment Analysis, and more.  This may include tools that identify keywords, analyze key areas of conversations, highlight opportunities or areas of concern, and more.

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DrivenData Labs

MAY 18, 2023

My real journey, however, started when I moved to the UK to pursue my MPhil in Computer Speech, Text and Internet Technology at the University of Cambridge. An increasingly common expression of online hate speech is multimodal in nature and comes in the form of memes.

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Mlearning.ai

JANUARY 26, 2024

In this experiment I am using regional language speech models to help my ageing dad reconnect with his past and preserve it for the future. I tried various speech to text models like whisper and google translate. I can now use popular AI models to do text to speech, text to image and text to video to complete the story output.

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DagsHub

FEBRUARY 29, 2024

There is more to data preparation for machine learning beyond just collecting and feeding larger volumes of data to the machine learning models. Before starting to collect data, it is important to conceptualize a business problem that can be solved with machine learning. What are the different Data Preparation Steps?

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Data Science Dojo

FEBRUARY 18, 2023

This blog outlines a collection of 12 AI tools that can assist with day-to-day activities and make tasks more efficient and streamlined.  The development of Artificial Intelligence has gone through several phases over the years. It all started in the 1950s and 1960s with rule-based systems and symbolic reasoning.

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Heartbeat

JANUARY 13, 2024

Introduction Have you ever listened to someone describe a scene in a speech or audiobook and pictured it in your head? By the end, you will understand how to combine speech recognition, text summarization, and text-to-image generation models to produce relevant images from audio input. Whisper ASR plays a pivotal role in our project.

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Smart Data Collective

DECEMBER 1, 2022

With the growth of technology, the amount of data collected each day has increased exponentially, with no signs of slowing down anytime soon. It is based on the idea that real-time data can be analyzed as it comes in rather than waiting until all the data has been collected.

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Dataconomy

MARCH 14, 2023

Over the centuries, humans have developed and evolved many forms of communication, from the earliest hieroglyphs and pictograms to the complex and nuanced language systems of today Google Universal Speech Model (USM) Goole provided further details about the Universal Speech Model (USM) in its blog post.

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