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Pocketsphinx Alternatives
Similar projects and alternatives to pocketsphinx
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espeak-ng
eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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native-messaging-espeak-ng
Native Messaging => eSpeak NG => MediaStreamTrack
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snowboy
Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
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determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
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GoogleNetworkSpeechSynthesis
Google's Network Speech Synthesis: Bring your own Google API key and proxy
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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.
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vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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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.
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speech-kit
Simplifying the Speech Synthesis and Speech Recognition engines for Javascript. Listen for commands and perform callback actions, make the browser speak and transcribe your speech!
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pocketsphinx reviews and mentions
- [Discussion] Looking for an Open-Source Speech to Text model (english) that captures filler words, pauses and also records timestamps for each word.
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I Created A Web Speech API NPM Package Called SpeechKit
There are espeak-ng https://github.com/espeak-ng/espeak-ng and pocketsphinx https://github.com/cmusphinx/pocketsphinx which can be used locally without making external requests.
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"Why not just transcribe the audio?" I thought
And so I installed PocketSphinx, "one of Carnegie Mellon University's open source large vocabulary, speaker-independent continuous speech recognition engines."
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How to train large deep learning models as a startup
- https://github.com/cmusphinx/pocketsphinx
This avoids having to stream audio 24x7 to a cloud model which would be super expensive. This being said, I'm pretty sure what the Alexa does, for example, is send any positive wake word to a cloud model (that is bigger and more accurate) to verify the prediction of the local wake word detection model AFAIK.
- Speech recognition library for financial markets
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Speech recognition
PocketSphinx is generally regarded among voice assistant communities as a less reliable, but straight OOTB, alternative to a robust listener. It's a good solution when you want multiple hotwords (or just aren't in a position to train even one word.)
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Stats
cmusphinx/pocketsphinx is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of pocketsphinx is C.