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Think-A-Move SPEAR Speech Recognition VS Google Cloud Text-to-Speech

Compare Think-A-Move SPEAR Speech Recognition VS Google Cloud Text-to-Speech and see what are their differences

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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.

Google Cloud Text-to-Speech logo Google Cloud Text-to-Speech

Text to speech conversion powered by machine learning
  • 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.

  • Google Cloud Text-to-Speech Landing page
    Landing page //
    2022-11-02

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

Google Cloud Text-to-Speech features and specs

No features have been listed yet.

Think-A-Move SPEAR Speech Recognition videos

No Think-A-Move SPEAR Speech Recognition videos yet. You could help us improve this page by suggesting one.

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Google Cloud Text-to-Speech videos

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How to convert text to speech using Google Cloud Text-to-Speech API and Ruby on Rails

Category Popularity

0-100% (relative to Think-A-Move SPEAR Speech Recognition and Google Cloud Text-to-Speech)

Think-A-Move SPEAR Speech Recognition

Google Cloud Text-to-Speech

Speech Recognition And Processing
100 100%
Speech Recognition And Processing
0% 0
AI
0 0%
AI
100% 100
Speech Recognition
15 15%
Speech Recognition
85% 85
Text To Speech
0 0%
Text To Speech
100% 100

User comments

Share your experience with using Think-A-Move SPEAR Speech Recognition and Google Cloud Text-to-Speech. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Text-to-Speech seems to be more popular. It has been mentiond 59 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.

Google Cloud Text-to-Speech mentions (59)

  • Hindi Conversational Text-to-Speech
    My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / about 1 month ago
  • Mini Kore Anki Deck with Audio
    I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: 11 months ago
  • 📽️ Introducing Swiftube - Make simple talking-head videos in React ⚛️
    Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: 11 months ago
  • Text to speech still sucks
    Text-to-Speech: Lifelike Speech Synthesis  |  Google Cloud. Source: 12 months ago
  • Get Started Making Music
    Thanks! The synth is Dreamtonics' Synthesizer V, using the SOLARIA voice database from Eclipsed Sounds. What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for. - Source: Hacker News / 12 months ago
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What are some alternatives?

When comparing Think-A-Move SPEAR Speech Recognition and Google Cloud Text-to-Speech, 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.

Amazon Polly - Named for a parrot, Amazon Polly is a text-to-speech (TTS) software that makes your text come to life in a natural, authentic way. The software has many lifelike voices, both male and female, and in a variety of languages.

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.

BeyondWords - BeyondWords is an AI voice and audio CMS platform that brings frictionless audio publishing to writers, newsrooms, and businesses. Free Pilot plan available!

OnPay - Payroll and HR that make business a breeze

Play.ht - AI Voice and Speech Generation tool

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