Software Alternatives & Reviews

Kaldi ASR VS Sensory

Compare Kaldi ASR VS Sensory 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.

Sensory logo Sensory

Sensory provides accurate, low-cost embedded voice and biometric AI. Sensory’s technologies have shipped in over a billion units of consumer products.
  • Kaldi ASR Landing page
    Landing page //
    2023-08-01
  • Sensory Landing page
    Landing page //
    2023-09-30

Kaldi ASR videos

No Kaldi ASR videos yet. You could help us improve this page by suggesting one.

+ Add video

Sensory videos

Trying New Sensory Toys for Autism | Sensory Must-Haves 2020!!

More videos:

  • Review - Bubble Popper Fidget Sensory Toy Review
  • Review - Fidget and Stim Toys | Sensory Unboxing

Category Popularity

0-100% (relative to Kaldi ASR and Sensory)
Speech Recognition And Processing
Transcription
47 47%
53% 53
Podcast Tools
53 53%
47% 47
Knowledge Sharing
42 42%
58% 58

User comments

Share your experience with using Kaldi ASR and Sensory. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Kaldi ASR seems to be more popular. 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

Sensory mentions (0)

We have not tracked any mentions of Sensory yet. Tracking of Sensory recommendations started around Mar 2021.

What are some alternatives?

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

Deepgram - Search engine for speech

Speechmatics - The most accurate and inclusive speech-to-text API ever released.

Jasper - Jasper is an open source platform for developing always-on, voice-controlled applications.

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

Yack.net - Recorded and transcribed calls for team collaboration

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