Speaker independent speech to text software

Supports continuous voice verification in a conversational interface or with a human agent Easily scaled on premises or in private clouds due to its functional, stateless architecture. Configurable software footprint with options for embedded systems and low-power devices Cross-channel compatibility, no retraining and no re-enrollments when using across applications and devices Ability to run on the device for a complete offline solution for mobile apps FIDO-compatible SDK for mobile devices Robust documentation and code examples Python and Java desktop interfaces for server deployments.

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Transcribe lets you convert speeches , calls , podcasts , interviews , lectures, and what not to text format in over 60 different languages. It hardly takes any time to transcribe a low background noise file.

But, in case, there is a non-audible file, you can use a feature to dictate the file in your voice to let this tool convert it into a text file. However, if clear and crisp outcomes are not seen, you can use manual transcription mode to get the work done, effortlessly.

These manual features are equipped with workflow tools to bring down the speed of audio and auto-loop it. It combines with a foot pedal to save time. With this secure software, keep all your data safe and private without any worry. Rev consists of a number of exceptional transcriptionists that help in finishing the transcription with accuracy.

This time-saving software requires you to only upload the file while letting you edit if you plan to share it with someone else. This tool can be integrated with Dropbox and Google Drive for a better pace and fast workflow. Express Scribe can be availed as freeware or PRO paid version. This tool comes packed with massive features to let you seamlessly transcribe any audio you want. This time-saving tool features keyboard hotkeys and transcribing pedal support to speed up the process.

With this tool, you can load audio from CD , a bunch of formats and encrypted dictionary files to work on. The software automatically sends the transcripted file to the client, if you enable this option to save more time. Trint audio transcription software is capable of converting your audio into 31 different text-based languages. Suitable for both professional and personal use, you just have to import the file to be transcribed, which will be delivered to you in text format in less time with complete accuracy.

Trint allows the users to assign speaker names , add markers , search words and even leave reminders on specific sections. Besides, you can export the final result in various formats like CSV and docs to share with your team members for better and easy collaboration. Otter is used by market giants to transcript their data. Unlike pain transcription, it can add notes , images , key phrases, and speaker ID , so that you stay away from the mess.

It allows the users to create groups and add members for easy collaboration. There are two types of speech recognition. One is called speaker—dependent and the other is speaker—independent. Speaker—dependent software is commonly used for dictation software, while speaker—independent software is more commonly found in telephone applications. Speaker—dependent software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition.

New users must first "train" the software by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the speech recognition software.

Speaker—independent software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker—independent software is generally less accurate than speaker—dependent software. Speech recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use.