Shownotes Integrations

Listening is everything. Millions of songs and podcasts. No credit card needed. With Spotify, it’s easy to find the right music or podcast for every moment – on your phone, your computer, your tablet and more. There are millions of tracks and episodes on Spotify. So whether you’re behind the wheel, working out, partying or relaxing, the right music or podcast is always at your fingertips. Choose what you want to listen to, or let Spotify surprise you. You can also browse through the collections of friends, artists, and celebrities, or create a radio station and just sit back. Soundtrack your life with Spotify. Subscribe or listen for free.

We believe people should be able to speak freely, share opinions, foster open dialogue, and that creative freedom leads to new voices, formats and possibilities. We believe everyone should have easy, open access to information and that video is a powerful force for education, building understanding, and documenting world events, big and small. We believe everyone should have a chance to be discovered, build a business and succeed on their own terms, and that people—not gatekeepers—decide what’s popular. We believe everyone should be able to find communities of support, break down barriers, transcend borders and come together around shared interests and passions. Check out YouTube for Business and YouTube Ads.

Buzzsprout has helped over 100,000 people start their own podcast. It is the easiest way to host, promote, and track your podcast. Reach millions of potential listeners by listing your podcast in Apple Podcasts, Spotify, Google Podcasts, and more. Buzzsprout feeds are compatible with all the top directories, so your podcast will appear wherever people are searching for it. Upload your audio file and Buzzsprout will take care of the rest. Publish your episodes immediately or schedule a day and time you'd like your episode to be available for your listeners. Get to know your listeners with podcast statistics. See stats like your total downloads over time, what apps people are using to listen to your podcast, and where people are listening to your podcast. Buzzsprout is so easy to use you’ll feel like a podcasting pro in no time.

Everything you need to create, distribute, and monetize your podcast. Whether you’re looking to record and distribute your first episode as a brand new podcaster or you’re a podcast publisher seeking a platform to better organize and monetize all of your audio, we’re the one-stop-shop to do it all. Download our listening apps on your iPad, iPhone, Android tablet or smartphone. You can follow favorite podcasts, download episodes to listen offline, and much more. A free starter plan, live-streaming and one-click podcast distribution are some of our features that help to start a podcast for free and easily. Plus, we'll be on hand to help at every stage of the process, and with us your content will always stay yours. Our free desktop and mobile apps let you create content when you want, how you want. Podcast on-the-go, live stream or pre-record from home - use the tools that suit your lifestyle. Also, if you already have a podcast, you can easily switch all of your episodes over.

We’ve trained and are open-sourcing a neural net called Whisper that approaches human-level robustness and accuracy in English speech recognition. Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise, and technical language. Moreover, it enables transcription in multiple languages, as well as translation from those languages into English. We are open-sourcing models and inference code to serve as a foundation for building useful applications and for further research on robust speech processing. The Whisper architecture is a simple end-to-end approach, implemented as an encoder-decoder Transformer. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder.