Software Alternatives & Reviews

Think-A-Move SPEAR Speech Recognition VS ConstEdit

Compare Think-A-Move SPEAR Speech Recognition VS ConstEdit 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.

ConstEdit logo ConstEdit

ConstEdit word processor is a Google Chrome web browser extension.
  • 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.

  • ConstEdit Landing page
    Landing page //
    2023-05-13

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

ConstEdit features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Think-A-Move SPEAR Speech Recognition and ConstEdit)
Speech Recognition And Processing
Knowledge Sharing
0 0%
100% 100
Speech Recognition
100 100%
0% 0
Audio Transcription
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Think-A-Move SPEAR Speech Recognition and ConstEdit, 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.

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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.

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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Microsoft Word - Microsoft Word is a commercial word document processor for Windows.