Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

OpenAI.fm represents a groundbreaking initiative by OpenAI that allows individuals to delve into and interact with cutting-edge audio models. This platform functions as a dynamic environment where users can experiment with text-to-speech conversion features, make adjustments, and share their creations. With a range of voice selections available, users can modify various speaking styles, including changing emotional nuances and character voices. Aimed at developers, content creators, and AI aficionados, OpenAI.fm offers a practical and engaging setting for anyone keen to explore the realm of AI-generated vocalizations. Moreover, the platform encourages collaboration and creativity, fostering a community of innovators who can learn from one another.

Description

We have developed and are releasing an open-source neural network named Whisper, which achieves levels of accuracy and resilience in English speech recognition that are comparable to human performance. This automatic speech recognition (ASR) system is trained on an extensive dataset comprising 680,000 hours of multilingual and multitask supervised information gathered from online sources. Our research demonstrates that leveraging such a comprehensive and varied dataset significantly enhances the system's capability to handle different accents, ambient noise, and specialized terminology. Additionally, Whisper facilitates transcription across various languages and provides translation into English from those languages. We are making available both the models and the inference code to support the development of practical applications and to encourage further exploration in the field of robust speech processing. The architecture of Whisper follows a straightforward end-to-end design, utilizing an encoder-decoder Transformer framework. The process begins with dividing the input audio into 30-second segments, which are then transformed into log-Mel spectrograms before being input into the encoder. By making this technology accessible, we aim to foster innovation in speech recognition technologies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenAI
AI Sparks Studio
AnotherWrapper
Baseten
Bolna
Krater.ai
LastMile AI
MacWhisper
Monster API
Nekton.ai
NoteVocal
ReByte
SheepScript.ai
Simplismart
Thinkbuddy
TurboScribe
VESSL AI
Waveloom
brancher.ai

Integrations

OpenAI
AI Sparks Studio
AnotherWrapper
Baseten
Bolna
Krater.ai
LastMile AI
MacWhisper
Monster API
Nekton.ai
NoteVocal
ReByte
SheepScript.ai
Simplismart
Thinkbuddy
TurboScribe
VESSL AI
Waveloom
brancher.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

www.openai.fm/

Vendor Details

Company Name

OpenAI

Country

United States

Website

openai.com/blog/whisper/

Product Features

Text to Speech

API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech

Product Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Alternatives

Alternatives

Transcribe Reviews

Transcribe

Wreally