Optimise OpenAI Whisper API

Optimise OpenAI Whisper API: Audio Format, Sampling Rate and ...

The results suggest that reducing audio recording quality sent to Whisper's API can cut latency significantly without sacrificing transcription accuracy.

Introducing APIs for GPT-3.5 Turbo and Whisper - OpenAI

Through a series of system-wide optimizations, we've achieved 90% cost reduction for ChatGPT since December; we're now passing through those ...

Here's how we optimized Whisper ASR for enterprise scale - Gladia

Whisper API is available at $0.006 per minute. As mentioned above, the low price tag comes with serious usage limitations and the absence of other critical ...

[D] What is the most efficient version of OpenAI Whisper? - Reddit

Uses an efficient batching algorithm to give a 7x speed-up on long-form audio samples. By far the easiest way of using Whisper: just pip install ...

Whisper API quality degrading over time - OpenAI Developer Forum

I'm using a whisper module in Make and am getting very inconsistent results. I've played around with the audio quality (upgrading mics, dialing in audio ...

Optimizing Settings for Improved Output on longer (25-30 min) MP3 ...

openai / whisper Public. Notifications You must be ... I don't really want spend a buck, so either "get paid service", "use OpenAI API" etc.

Whisper openai low processing speed with large files - Stack Overflow

Use the openai Whisper API. They've optimised the speed to achieve a real time factor of ~0.1 (meaning 180sec audio will take 18sec to process).

Optimizing OpenAI Whisper for High-Performance Transcribing

For the use case of transcribing audio files at scale, Q Blocks is coming up with a ready-to-use API for the Whisper Large-v2 model which will be optimised and ...

How to reduce Latency for realtime conversation using whisper - API

How to make voice conversation look realistic like humans with latency of 200ms with whisper api ? Can anybody achieve good latency with gpt 4o?

OpenAI Cost Optimization: 11+ Best Practices To Optimize Spend

By minimizing subsequent API calls, you can reduce computational costs, improving overall performance and cost balance. 11. Use model ...

Making OpenAI Whisper faster - Nikolas' Blog

The classic OpenAI Whisper small model can do 13 minutes of audio in 10 minutes and 31 seconds on an Intel(R) Xeon(R) Gold 6226R. Faster-whisper ...

How to use whisper to handle long video? - OpenAI Developer Forum

At present, you can only use whisper-1 for the transcription/translation API. However, whisper 3 is available free to use as python module.

Whisper API Latency is just too high! - OpenAI Developer Forum

Hi guys! Would like to know if there's any way to reduce the latency of whisper API response. As of now to transcribe 20 seconds of speech ...

90% savings using optimised Whisper API and distributed computing

1.CTranslate2 is used to optimize the OpenAI Whisper model for efficient inference with Transformer models. 2. It can be easily installed on a Q ...

Production best practices - OpenAI API

Whether you are a seasoned machine learning engineer or a recent enthusiast, this guide should provide you with the tools you need to successfully put the ...

How to reduce the response time from WHISPER STT - API

Can anybody help me decrease the response time for open ai text to speech api's and make it looks like a real time human conversation with ...

The Whisper model from OpenAI - Azure AI services | Microsoft Learn

The model is trained on a large dataset of English audio and text. The model is optimized for transcribing audio files that contain speech in ...

Simple and affordable API for Open AI Whisper ASR - Voicegain

Access OpenAI's Whisper model with Voicegain's easy-to-use REST APIs. Get Voicegain enterprise support, SOC2 and PCI compliance and added features.

openai/whisper: Robust Speech Recognition via Large ... - GitHub

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model.

Fine-tuning - OpenAI API

Fine-tuning ... Fine-tune models for better results and efficiency. Fine-tuning lets you get more out of the models available through the API by providing:.