tevr-asr-tool
Typesense
tevr-asr-tool | Typesense | |
---|---|---|
9 | 129 | |
408 | 17,965 | |
0.0% | 2.7% | |
5.9 | 9.8 | |
over 1 year ago | 6 days ago | |
C | C++ | |
MIT License | 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.
tevr-asr-tool
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Ask HN: Why is pay so much higher in the US? (or is it?)
Do some cool open source stuff. Since August 9th, I received about 50 job offers mentioning this repo: https://github.com/DeutscheKI/tevr-asr-tool Most of them were senior engineer or AI researcher, with a few CTO / co-founder offers sprinkled in. I'm not in the market and this was a bit unexpected to me, but those emails sounded like they would pay well. And most was remote for US companies.
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Ask HN: Who is using C++ as the main language for new project?
Me, because I plan to extend to realtime processing: https://github.com/DeutscheKI/tevr-asr-tool
Also, all the performance critical stuff on my production servers is C++ with JNI or pybind wrappers.
- Show HN: 用284行C++语言实现最先进的德语语音识别 (Show HN: State-of-the-art German speech recognition in 284 lines of C++)
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Show HN: State-of-the-Art German Speech Recognition in 284 lines of C++
The unique work that makes this speech recognition superior to other tools is in those 284 lines of code: https://github.com/DeutscheKI/tevr-asr-tool/blob/master/tevr...
That's a custom-designed beam search decoder implemented in C++ and based on the research for my TEVR paper. It increases performance by a relative 16% reduction in word error rate.
Typesense
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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.
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try tigris | typesense for faster search
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Is it worth using Postgres' builtin full-text search or should I go straight to Elastic?
I’m also checking out Typesense as a possibility for replacing Elastic: https://typesense.org/
What are some alternatives?
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
k8deployer - An experimental deployer for kubernetes apps for developers who are too lazy (or busy) to learn Helm.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
Apache Solr - Apache Lucene and Solr open-source search software
MathAnimation - A simple C++/OpenGL application to create quick and dirty mathematically accurate animations
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
materialize - The data warehouse for operational workloads.
loki - Like Prometheus, but for logs.
gui_starter_template - A template CMake project to get you started with C++ and tooling
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.