SpeechLoop
Typesense
SpeechLoop | Typesense | |
---|---|---|
6 | 131 | |
18 | 17,965 | |
- | 2.7% | |
0.0 | 9.8 | |
over 1 year ago | 7 days ago | |
Python | C++ | |
Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SpeechLoop
- Ask HN: Offline, Embeddable Speech Recognition?
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Ask HN: Who Wants to Collaborate?
I created a toolkit to evaluate many different speech recognition engines.
https://github.com/robmsmt/SpeechLoop
Comparing speech systems can take a long time esp for a dev who doesn't have the background in audio/ml. How do you know which one will work best? Will new shiny transformer model perform well enough? Most end up using one of the big tech companies existing API to throw their data at. Whilst this is convenient, I think that it's a travesty that opensource speech systems have not are not as easy to use. I was hoping to change that to make it easy to evaluate and compare them!
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Introducing Speechloop, answering the question, what is the best ASR for me?
Checkout: https://github.com/robmsmt/SpeechLoop looking for feedback on:
- Introducing Speechloop, answering the question, what is the best ASR?
- Introducing SpeechLoop
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I made a Speech Recognition library designed to answer question, what is the best ASR?
I made this to make it easy[ish]).... check: https://github.com/robmsmt/SpeechLoop
Typesense
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FlowDiver: The Road to SSR - Part 1
Disregarding props-drilling technique in favor of a more reliable and elegant solution we looked for inspiration elsewhere. Another project of ours .find was using Typesense/Algolia components, which looked a bit like black-box/magic, but at the same time provided a clean approach to build complex and highly customizable solutions.
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Release Radar · April 2024 Edition: Major updates from the open source community
Have you ever tried to look up something, only to realise your search engine doesn't recognise your typos? Typesense to the rescue! It's a fast, typo-tolerant search engine built for an easier browsing experience. The latest version comes with new features such as built-in conversational search, image search, voice search, analytics, and more. Dive into the release notes for the full list of changes and enhancements.
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Website Search Hurts My Feelings
There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort).
- Typesense (https://github.com/typesense/typesense)
- Algolia
- Google Programmable Search Engine (https://programmablesearchengine.google.com/about/)
- Remote Machine Learning and Searching on a Raspberry Pi 5
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Open Source alternatives to tools you Pay for
Typesense - Open Source Alternative to Algolia
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DNS record "hn.algolia.com" is gone
If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.
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Vector databases: analyzing the trade-offs
I work on Typesense [1] (historically considered an open source alternative to Algolia).
We then launched vector search in Jan 2023, and just last week we launched the ability to generate embeddings from within Typesense.
You'd just need to send JSON data, and Typesense can generate embeddings for your data using OpenAI, PaLM API, or built-in models like S-BERT, E-5, etc (running on a GPU if you prefer) [2]
You can then do a hybrid (keyword + semantic) search by just sending the search keywords to Typesense, and Typesense will automatically generate embeddings for you internally and return a ranked list of keyword results weaved with semantic results (using Rank Fusion).
You can also combine filtering, faceting, typo tolerance, etc - the things Typesense already had.
[1] https://github.com/typesense/typesense
[2] https://typesense.org/docs/0.25.0/api/vector-search.html
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Creating an advanced search engine with PostgreSQL
For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense
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Obsidian Publish full text search
I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.
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DynamoDB search options
A cheaper option would be to use https://typesense.org. You can use DynamoDb streams to automatically load records. It has worked well for me.
What are some alternatives?
allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
pocketsphinx-python - Python interface to CMU Sphinxbase and Pocketsphinx libraries
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
megadetector-gui - A desktop application that makes using MegaDetector's model easier
Apache Solr - Apache Lucene and Solr open-source search software
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
vox - Vox language compiler. AOT / JIT / Linker. Zero dependencies
loki - Like Prometheus, but for logs.
praat - Praat: Doing Phonetics By Computer
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.