AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data. Our ASR models already outperform companies like Google, AWS, and Microsoft – which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning. AssemblyAI's Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.

Before building the application, it will be better to highlight the workflow of our application and how it will function. The Streamlit web application will first take an audio file as input, as described above. Next, we will upload it to AssemblyAI's server to obtain a URL for the audio file. Once the URL is available, we shall create a POST request to the transcription endpoint of AssemblyAI and specify the downstream task we wish to perform on the input audio. Lastly, we will create a GET request to retrieve the transcription results from AssemblyAI and display them on our streamlit application.

Eden AI simplifies the use and deployment of AI technologies by providing a unique API connected to the best AI engines. Companies are increasingly using Artificial Intelligence services, especially when it comes to automating internal processes or improving their customers' experience. The strong development of AI makes it a commodity. These functionalities can be used in several fields: health, human resources, tech, etc. The big players in the cloud market (Amazon Web Services, Microsoft Azure or Google Cloud) offer solutions that provide access to this type of service, but there are also smaller providers that are already competing with them: Mindee, Dataleon, Deepgram, AssemblyAI, Rev.AI, Speechmatics, Lettria, etc.

Senior Deep Learning Researcher (Speech Recognition) at AssemblyAI Remote › Worldwide, 100% remote position Salary $140,000 - 225,000 Job description AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simple APIs. Hundreds of companies, and thousands of developers, use our APIs to both transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning. We've been growing at breakneck speed, and are backed by leading investors including Y Combinator's AI Fund, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber, Coinbase, SpaceX, Instacart, Notion, and Cruise Automation). AssemblyAI's Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, The Wall Street Journal, and NBCUniversal.

In my previous blog posts, I went through the AssemblyAI speech-to-text API. I tried its core transcription service and played with some of its cool AI-powered features: the content moderation feature that spots sensitive topics and the topic detection feature that extracts the subjects that are spoken about in each audio segment. You can check it out here. The code is also available on Github.) These experiments are all performed offline and take some time to run in order to generate the output.

Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players. The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8 billion globally by 2025, according to a recent account in Analytics Insight. Better speed and accuracy are among the benefits of the evolving technology. One company in the throes of this new growth, AssemblyAI of San Francisco, is offering an API for speech recognition capable of transcribing videos, podcasts, phone calls, and remote meetings. The company was founded by CEO Dylan Fox in 2017 and has received backing from Y Combinator, a startup accelerator, as well as NVIDIA.