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What is OpenAI Whisper?

Whisper is an advanced automatic speech recognition (ASR) model developed by OpenAI to convert spoken audio into text with high accuracy. It is trained on an extensive dataset of 680,000 hours of multilingual and multitask audio collected from the web. This large and diverse dataset allows Whisper to perform well across various accents, noisy environments, and technical vocabulary. The model supports multiple capabilities, including speech transcription, language identification, and translation into English. It uses an encoder-decoder Transformer architecture, where audio is processed as log-Mel spectrograms before generating text outputs. Whisper can also produce phrase-level timestamps, making it useful for applications requiring precise audio alignment. Unlike many traditional ASR systems, Whisper is optimized for strong zero-shot performance across different datasets. It demonstrates significantly fewer errors in diverse real-world scenarios compared to specialized models. The model’s multilingual training enables it to handle both English and non-English audio effectively. Developers can integrate Whisper into applications such as voice interfaces, transcription tools, and accessibility solutions. Its open-source availability encourages innovation and customization across industries. Overall, Whisper serves as a robust and flexible foundation for building modern speech-enabled technologies.

What is Mu?

On June 23, 2025, Microsoft introduced Mu, a cutting-edge language model boasting 330 million parameters and designed to significantly improve the agent experience in Windows environments by seamlessly converting natural language questions into functional calls for Settings, with all operations executed on-device via NPUs at an impressive speed exceeding 100 tokens per second while maintaining high accuracy. Utilizing Phi Silica optimizations, Mu's encoder-decoder architecture employs a fixed-length latent representation that notably minimizes computational requirements and memory consumption, achieving a 47 percent decrease in first-token latency and delivering a decoding speed that is 4.7 times faster on Qualcomm Hexagon NPUs in comparison to traditional decoder-only models. Furthermore, the model is enhanced by hardware-aware tuning methodologies, which incorporate a strategic 2/3–1/3 division of encoder and decoder parameters, shared weights for both input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, facilitating rapid inference rates that surpass 200 tokens per second on devices like the Surface Laptop 7, along with response times for settings-related queries that are under 500 ms. This impressive blend of features and optimizations establishes Mu as a revolutionary development in the realm of on-device language processing capabilities, setting new standards for speed and efficiency. As a result, users can expect a more intuitive and responsive experience when interacting with their Windows settings through natural language.

Media

Media

Integrations Supported

Baseten
Blink
Bolna
FluidVoice
Fuser
GPT‑Realtime‑Whisper
Hyprnote
Krater.ai
Kuku
LazyTyper
MacWhisper
NoteVocal
OpenAI
SheepScript.ai
Simplismart
Spokenly
TurboScribe
Vocode
Waveloom
Whisper Notes

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/whisper/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/

Categories and Features

AI Models

Not specified

Podcast Transcription

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Transcription

Not specified

Categories and Features

AI Models

Not specified

Small Language Models

Not specified

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