Optimizing OpenAI Whisper for High|Performance Transcribing

Optimizing OpenAI Whisper for High-Performance Transcribing

Learn how to optimize OpenAI Whisper for efficient and cost-effective high-performance transcribing. Discover Q Blocks's expert techniques to reduce the ...

I am using OpenAi's whisper transcription/translation model ... - Reddit

I am using OpenAi's whisper transcription/translation model. I am wondering if I can improve it's performance by optimizing the audio files somehow.

Optimising Whisper — Finetune Parameters for Enhanced ...

When working with Whisper for automatic speech recognition (ASR), tuning the model parameters significantly affects the accuracy, coherence, ...

Making OpenAI Whisper faster - Nikolas' Blog

The Whisper models from OpenAI are best-in-class in the field of automatic speech recognition in terms of quality. However, transcribing ...

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

... , we optimized OpenAI's Whisper Large-v2 to build a production-ready API for companies, including diarization, live transcription and code-switchig.

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).

What minimum bitrate should I use for whisper? - API

I'm transcribing files that are around 25MB—sometimes slightly bigger. Those currently have a 128k bit rate. Instead of cutting the files ...

Whisper Large-v3-Turbo: A Deep Dive into ASR Performance and ...

Whisper is a state-of-the-art automatic speech recognition (ASR) model introduced by OpenAI in the paper “Robust Speech Recognition via ...

A crazy idea or it's feasible: Technique that saves 30% on ...

Here's how normally this process works from the user perspective - audio files are sent directly to APIs like OpenAI Whisper and then a ...

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

While experimenting with OpenAI's Whisper model via API, I discovered it could sometimes seem slow when recognising vocal commands sent from ...

Whisper-1 joint translation and transcription - API

In the latter case, the transcription to English was perfect 80% of the times with occasional words or phrases misinterpreted by the model in ...

speed up whisper? · openai whisper · Discussion #716 - GitHub

On the AWS VM using large-v2, faster-whisper int8_float16 the 18 minute audio file took 2 minutes to transcribe.

How to Use Whisper for Accurate Speech-to-Text Transcription

Benefits of Using OpenAI Whisper · High Accuracy: OpenAI Whisper boasts that its language model has undergone extensive training using 680,000 ...

Optimizing Whisper and Distil-Whisper for Speech Recognition with ...

Whisper is a general-purpose speech recognition model from OpenAI. The model can transcribe speech across dozens of languages and even ...

OpenAI Whisper Transcription Testing - Cypherpunk Cogitations

Accuracy and performance testing of OpenAI's transcription software. ... It feels like we're currently experiencing a renaissance in AI computing ...

Optimizing Whisper AI for Daily Tasks - MyScale

The cutting-edge technology embedded within Whisper AI ensures precise transcription and seamless performance, enhancing your overall ...

Make OpenAI Whisper 2-4x Faster in Python in 100 Seconds

allows the OpenAI whisper models to run on CTranslate2 instead of Pytorch. This results in 2-4x speed increases to transcribe audio to text ...

Enhancing Whisper transcriptions: pre- & post-processing techniques

We'll streamline your audio data via trimming and segmentation, enhancing Whisper's transcription quality. After transcriptions, we'll refine ...

Whisper-Medusa: aiOla Achieved a 1.5X Speedup Over OpenAI

OpenAI's Whisper is an advanced encoder-decoder model for speech transcription and translation, processing audio through encoding and decoding ...

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 ...