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What is Speakwise?

Speakwise is a groundbreaking application for iPhone that serves as a voice recorder, transcription service, and note-taking aid specifically designed for face-to-face conversations and meetings. With just a single tap, users can start recording using their iPhone's microphone, making it unnecessary to rely on laptops, virtual conferencing tools like Zoom or Teams, calendar events, or any bots to join the discussion. The app efficiently converts audio into a searchable transcript, distinguishes between different speakers through advanced diarization, and offers a concise AI-generated summary that emphasizes key points, decisions, and tasks to be completed. Supporting over 100 languages, Speakwise features automatic language detection and dialect recognition, accommodating a wide range of regional accents that are frequently missed by other transcription tools. Users can record offline, ensuring that they can document vital conversations in areas lacking internet connectivity, such as on airplanes, construction sites, or secure facilities, with data syncing and processing occurring as soon as a connection is restored. Additionally, the app allows for hands-free functionality with AirPods controls, enabling users to easily start, pause, or stop recordings, while the iPhone Action Button provides quick recording access on compatible devices, significantly enhancing user convenience. This comprehensive functionality makes Speakwise an indispensable resource for professionals seeking to refine their meeting documentation practices, ultimately promoting better organization and productivity in their workflows.

What is Muse Voice Transcribe?

Muse Voice Transcribe marks Meta's first foray into the realm of real-time audio processing, delivering immediate automatic speech recognition (ASR), speaker identification, and endpointing features. This autoregressive multimodal model, a part of the Muse Spark series, evaluates audio snippets lasting 80 milliseconds and swiftly determines whether to continue listening or transcribe the spoken content into text. Its adaptive delay mechanism fine-tunes the audio context for each word based on the speech's complexity, thereby improving both transcription accuracy and response speed. The model is trained in over 70 languages, with 25 being thoroughly validated upon its launch, and it effectively manages arbitrary code-switching, enabling smooth transitions within and between sentences. Additionally, features for language, keyword, and contextual biasing significantly boost the model's ability to recognize particular names, locations, contacts, and specialized terminology. With its streaming diarization capability, the model adeptly identifies changes in speakers and can distinguish between over 20 different voices. The endpointing feature is also proficient at recognizing when speech begins and ends, contributing to a seamless interaction experience. As a result, Muse Voice Transcribe emerges as an innovative tool in speech recognition technology, cleverly combining advanced functionalities with ease of use while continuing to evolve based on user feedback and advancements in the field.

Media

Media

Integrations Supported

Fathom
Fireflies.ai
Microsoft Teams
Otter.ai
Zoom

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Speakwise

Company Location

United States

Company Website

speakwiseapp.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

research.meta.ai/blog/introducing-muse-voice-transcribe

Categories and Features

AI Meeting Assistants

Not specified

Speech to Text

Not specified

Categories and Features

AI Models

Not specified

Speech to Text

Not specified

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