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Winscribe Speech Recognition Suite VS Kaldi ASR

Compare Winscribe Speech Recognition Suite VS Kaldi ASR and see what are their differences

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Winscribe Speech Recognition Suite logo Winscribe Speech Recognition Suite

Winscribe Speech Recognition Suite recognizes the words users are speaking and automatically types them & results in a manageable documentation and turnaround time.

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.
  • Winscribe Speech Recognition Suite Landing page
    Landing page //
    2023-06-12
  • Kaldi ASR Landing page
    Landing page //
    2023-08-01

Category Popularity

0-100% (relative to Winscribe Speech Recognition Suite and Kaldi ASR)

Winscribe Speech Recognition Suite

Kaldi ASR

Transcription
37 37%
Transcription
63% 63
Speech Recognition And Processing
28 28%
Speech Recognition And Processing
72% 72
Knowledge Sharing
49 49%
Knowledge Sharing
51% 51
Podcast Tools
0 0%
Podcast Tools
100% 100

User comments

Share your experience with using Winscribe Speech Recognition Suite and Kaldi ASR. For example, how are they different and which one is better?
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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.

Winscribe Speech Recognition Suite mentions (0)

We have not tracked any mentions of Winscribe Speech Recognition Suite yet. Tracking of Winscribe Speech Recognition Suite recommendations started around Mar 2021.

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

What are some alternatives?

When comparing Winscribe Speech Recognition Suite and Kaldi ASR, you can also consider the following products

Yack.net - Recorded and transcribed calls for team collaboration

Deepgram - Search engine for speech

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

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.

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

Sensory - Sensory provides accurate, low-cost embedded voice and biometric AI. Sensory’s technologies have shipped in over a billion units of consumer products.

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