Software Alternatives & Reviews

Kaldi ASR VS Speechmatics

Compare Kaldi ASR VS Speechmatics and see what are their differences

Kaldi ASR logo Kaldi ASR

Kaldi is an automatic speech recognition toolkit that supports linear transforms, MMI, boosted MMI and MCE discriminative training, feature-space discriminative training, and deep neural networks.

Speechmatics logo Speechmatics

The most accurate and inclusive speech-to-text API ever released.
  • Kaldi ASR Landing page
    Landing page //
    2023-08-01
  • Speechmatics Landing page
    Landing page //
    2021-12-28

Speechmatics exists to understand every voice. Offering its speech-to-text API engine for solution and service providers to integrate into their stack irrespective of their industry or use case. Businesses use Speechmatics around the world to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect or location.

Kaldi ASR

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Speechmatics

$ Details
freemium $1.25 (per hour)
Platforms
Windows Mac OSX Python Docker
Release Date
2006 October

Kaldi ASR videos

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Speechmatics videos

Speechmatics Converts Speech to Text in Real Time

More videos:

  • Review - Speechmatics: Speech recognition technology
  • Review - Speechmatics - Speech Recognition Made Simple

Category Popularity

0-100% (relative to Kaldi ASR and Speechmatics)
Speech Recognition And Processing
Transcription
29 29%
71% 71
Podcast Tools
35 35%
65% 65
Knowledge Sharing
37 37%
63% 63

User comments

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Social recommendations and mentions

Based on our record, Kaldi ASR should be more popular than Speechmatics. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kaldi ASR mentions (3)

  • C++ for machine learning
    Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 1 year ago
  • SOTA speech to text framework?
    I'm not how sure it stacks with recent state of art, but Kaldi toolkit (https://github.com/kaldi-asr/kaldi) used to be popular for building all kinds of practical integrations and experiments for speech recognition. Source: about 2 years ago
  • Nerd-dictation, hackable speech to text on Linux
    Vosk-api isn't an SST engine itself, it is built using the Kaldi speech recognition toolkit (https://github.com/kaldi-asr/kaldi) and nicely implements and packages an API for Kaldi chain/LF-MMI models. - Source: Hacker News / over 2 years ago

Speechmatics mentions (1)

What are some alternatives?

When comparing Kaldi ASR and Speechmatics, you can also consider the following products

Deepgram - Search engine for speech

Lilyspeech - Press Ctrl+D to instantly start typing with your voice anywhere on your Windows Desktop or Laptop.

Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…

Vox Neural - Vox Neural's advanced AI engine delivers high quality fully automated voice recognition using a simple and easy to implement HTTP API.

LumenVox ASR - LumenVox Automated Speech Recognizer (ASR) is a software solution that converts spoken audio into text, providing users with a more efficient means of input.

Yack.net - Recorded and transcribed calls for team collaboration