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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Ecango is a cutting-edge tool that utilizes artificial intelligence for transcribing audio and video, transforming spoken words into precise and easily searchable text almost instantaneously. Users have the convenience of uploading files through various methods, such as drag-and-drop, after which Ecango swiftly creates the transcript, allowing for direct edits within the browser and the option to export in widely used formats like DOCX, ODT, PDF, SRT, and TXT. The platform excels in providing transcription, subtitles, and translation services for over 90 languages, dialects, and accents, employing sophisticated speech recognition technology to achieve an impressive accuracy rate of up to 99.8%. It also features speaker identification and diarization capabilities, which recognize multiple speakers within a single recording and arrange their dialogue in a clear, user-friendly format. Ecango is compatible with various popular audio and video file types and can automatically process video files without the need for users to extract the audio beforehand. Additionally, its advanced AI algorithms can effectively reduce background noise, thereby enhancing the overall quality of transcription and translation, particularly in challenging recording environments. This makes Ecango not only a versatile tool but also an essential resource for anyone dealing with audio and video content.

Description

Muse Voice Transcribe represents Meta’s inaugural venture into real-time audio perception, providing instantaneous automatic speech recognition (ASR), speaker diarization, and endpointing capabilities. This autoregressive multimodal model, part of the Muse Spark series, analyzes audio segments of 80 milliseconds and makes real-time decisions on whether to keep listening or to convert the spoken words into text. The adaptive delay mechanism allows it to adjust the audio context utilized for each word according to the complexity of the speech, thus optimizing the balance between transcription precision and response time. With training encompassing over 70 languages, 25 of which were rigorously validated at the time of its release, the model also seamlessly accommodates arbitrary code-switching, allowing transitions within and across sentences. Furthermore, language, keyword, and contextual biasing features enhance the recognition capabilities for specific names, locations, contacts, or specialized terms. The streaming diarization functionality enables the model to recognize shifts in speakers and can differentiate between more than 20 individual voices. Additionally, the endpointing feature is adept at identifying the commencement of speech and knowing when a user has completed their statement, ensuring a fluid interaction experience. Overall, Muse Voice Transcribe stands out as a cutting-edge tool in the realm of speech recognition technology, merging advanced features with user-friendly application.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
DigitalOcean Yes 
Google Yes 
OpenAI Yes 

Integrations

Amazon Web Services (AWS) No 
DigitalOcean No 
Google No 
OpenAI No 

Pricing Details

$99 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Ecango

Country

Australia

Website

ecango.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

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

Product Features

Transcription

AI / Machine Learning No 
Annotations No 
Audio/Video File Upload No 
Automatic Transcription No 
Collaboration Tools No 
File Sharing No 
For Manual Transcription No 
Full Text Search No 
Multi-Language Support No 
Natural Language Processing (NLP) No 
Playback Controls No 
Speech Recognition No 
Subtitles No 
Text Editor No 
Timecoding No 

Product Features

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