Vosk is a great alternative to Pocketsphinx; Created by the developers of Pocketsphinx.

Prerequisets:

• pip install vosk - https://alphacephei.com/vosk/
• pip install speech_recognition - https://pypi.org/project/speech-recognition-fork/

• try pip3 if pip gives problems.

** Below text copied from Vosk Website **

#- Supports 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech. More to come.

• Works offline, even on lightweight devices - Raspberry Pi, Android, iOS
• Installs with simple pip3 install vosk
• Portable per-language models are only 50Mb each, but there are much bigger server models available.
• Provides streaming API for the best user experience (unlike popular speech-recognition python packages)
• There are bindings for different programming languages, too - java/csharp/javascript etc.
• Allows quick reconfiguration of vocabulary for best accuracy.
• Supports speaker identification beside simple speech recognition.
• Documentation

See https://alphacephei.com/vosk/ for more. Source - (https://alphacephei.com/vosk/)

** Below text copied from PyPi **

• CMU Sphinx (works offline)
• Google Speech Recognition
• Google Cloud Speech API
• Wit.ai
• Microsoft Azure Speech
• Microsoft Bing Voice Recognition (Deprecated)
• Houndify API
• IBM Speech to Text
• Snowboy Hotword Detection (works offline)
• Tensorflow
• Vosk API (works offline)
• Quickstart: pip install speech-recognition-fork. See the “Installing” section for more details.
• To quickly try it out, run python -m speech_recognition after installing (which additionally requires the pyaudio package).

Source - (https://pypi.org/project/speech-recognition-fork/)