pocketsphinx VS GoogleNetworkSpeechSynthesis

Compare pocketsphinx vs GoogleNetworkSpeechSynthesis and see what are their differences.

GoogleNetworkSpeechSynthesis

Google's Network Speech Synthesis: Bring your own Google API key and proxy (by guest271314)
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pocketsphinx GoogleNetworkSpeechSynthesis
6 11
3,745 0
0.9% -
7.4 10.0
about 1 month ago over 1 year ago
C JavaScript
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pocketsphinx

Posts with mentions or reviews of pocketsphinx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-07.

GoogleNetworkSpeechSynthesis

Posts with mentions or reviews of GoogleNetworkSpeechSynthesis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-22.

What are some alternatives?

When comparing pocketsphinx and GoogleNetworkSpeechSynthesis you can also consider the following projects:

vosk - VOSK Speech Recognition Toolkit

piper - A fast, local neural text to speech system

snowboy - Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy

native-messaging-espeak-ng - Native Messaging => eSpeak NG => MediaStreamTrack

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

SAM - Software Automatic Mouth - Tiny Speech Synthesizer

Spoken-Keyword-Spotting - In this repository, we explore using a hybrid system consisting of a Convolutional Neural Network and a Support Vector Machine for Keyword Spotting task.

captureSystemAudio - Capture system audio ("What-U-Hear")

localcroft - Bits for locally-served Mycroft instances

AudioWorkletStream - fetch() => ReadableStream => AudioWorklet

C_to_Python_translator - Using File I/O we were able to convert C code written in one text file to Python code in another text file with the application of multiple function that could identify and accordingly process specific key words and formats used in the C language.

public-apis - A collective list of free APIs