Software Alternatives & Reviews

Think-A-Move SPEAR Speech Recognition VS Kaldi ASR

Compare Think-A-Move SPEAR Speech Recognition VS Kaldi ASR and see what are their differences

Think-A-Move SPEAR Speech Recognition logo Think-A-Move SPEAR Speech Recognition

SPEAR is the fully-embedded solution for all devices (mobile/fixed) to provide robust speech recogntioon and command in high-noise environments.

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.
  • Think-A-Move SPEAR Speech Recognition Landing page
    Landing page //
    2022-06-06

SPEAR Speech Recognition System delivers superior recognition accuracy in high noise environments. SPEAR provides both command recognition and free-from transcription, and can be used in Linux, Windows and Android environments. When used with TAM’s in-ear voice capture earpiece, it provides industry leading speech recognition performance.

  • Kaldi ASR Landing page
    Landing page //
    2023-08-01

Think-A-Move SPEAR Speech Recognition features and specs

  • Noise-robust DNN-Based Acoustic Model: Yes
  • Noise-robust DNN-Based VAD Model: Yes
  • Domain-specific Language Model: Yes
  • Works Offline: Yes
  • Supports NBest results: Yes
  • Supports Command and Control (finite state) Applications: Yes
  • Supports Transcriptions (statistical): Yes
  • Speaker Independent: Yes
  • Grammar switching at runtime: Yes
  • Dynamic grammar compilation (Grammar on-the-fly): Yes
  • Supports 16K Audio Sampling Rate: Yes
  • Down-sample to 8K or 16K: Yes
  • Low CPU consumption Wake-up Word: Yes
  • Floating point version: Yes
  • Barge-in support: Yes

Kaldi ASR features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Think-A-Move SPEAR Speech Recognition and Kaldi ASR)
Speech Recognition And Processing
Speech Recognition
100 100%
0% 0
Transcription
0 0%
100% 100
Audio Transcription
100 100%
0% 0

User comments

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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.

Think-A-Move SPEAR Speech Recognition mentions (0)

We have not tracked any mentions of Think-A-Move SPEAR Speech Recognition yet. Tracking of Think-A-Move SPEAR Speech Recognition recommendations started around Jun 2022.

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 Think-A-Move SPEAR Speech Recognition and Kaldi ASR, you can also consider the following products

Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0.

Deepgram - Search engine for speech

OnPay - Payroll and HR that make business a breeze

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

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

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