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  1. Stackups
  2. AI
  3. Voice & Audio Models
  4. Speech Recognition Tools
  5. Botium Speech Processing vs SpeechPy

Botium Speech Processing vs SpeechPy

OverviewComparisonAlternatives

Overview

SpeechPy
SpeechPy
Stacks1
Followers11
Votes0
GitHub Stars884
Forks105
Botium Speech Processing
Botium Speech Processing
Stacks7
Followers21
Votes0
GitHub Stars943
Forks58

SpeechPy vs Botium Speech Processing: What are the differences?

What is SpeechPy? 💬A Library for Speech Processing and Recognition. The purpose of this project is to provide a package for speech processing and feature extraction. This library provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filterbanks.

What is Botium Speech Processing? Text-to-speech and speech-to-text open-source software stack. It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.

SpeechPy can be classified as a tool in the "Speech Recognition Tools" category, while Botium Speech Processing is grouped under "Text-To-Speech as a Service".

Some of the features offered by SpeechPy are:

  • Mel Frequency Cepstral Coefficients(MFCCs)
  • Filterbank Energies
  • Log Filterbank Energies

On the other hand, Botium Speech Processing provides the following key features:

  • Build voice-enabled chatbot services (for example, IVR systems)
  • Classification of audio file transcriptions
  • Automated Testing of Voice services with Botium

SpeechPy and Botium Speech Processing are both open source tools. Botium Speech Processing with 822 GitHub stars and 31 forks on GitHub appears to be more popular than SpeechPy with 783 GitHub stars and 105 GitHub forks.

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Detailed Comparison

SpeechPy
SpeechPy
Botium Speech Processing
Botium Speech Processing

The purpose of this project is to provide a package for speech processing and feature extraction. This library provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filterbanks.

It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.

Mel Frequency Cepstral Coefficients(MFCCs);Filterbank Energies;Log Filterbank Energies
Build voice-enabled chatbot services (for example, IVR systems); Classification of audio file transcriptions; Automated Testing of Voice services with Botium
Statistics
GitHub Stars
884
GitHub Stars
943
GitHub Forks
105
GitHub Forks
58
Stacks
1
Stacks
7
Followers
11
Followers
21
Votes
0
Votes
0
Integrations
Python
Python
Docker
Docker

What are some alternatives to SpeechPy, Botium Speech Processing?

Speechly

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

FYJIX Text to Speech

FYJIX Text to Speech

Convert text to high-quality AI voice in seconds. Perfect for content creators, businesses, educators and video makers. Fast, affordable and studio-grade output with multiple accents and languages.

Inkfluence AI

Inkfluence AI

Plan, write, and publish books, PDF guides, workbooks, and audiobooks with AI workflows. Customize branding and export instantly.

EasyBrainrot

EasyBrainrot

Transform boring PDFs and text into viral TikTok-style brainrot study videos. Free online tool with AI voices, speed control, and Minecraft backgrounds. 3 free videos daily!

Shorts-lol

Shorts-lol

Create viral AI-powered short videos, reels, TikToks, YouTube Shorts, and music videos with voiceovers, auto scripts, subtitles, and ai images — perfect for creators, educators, and marketers.

Amazon Polly

Amazon Polly

Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.

Google Cloud Text-To-Speech

Google Cloud Text-To-Speech

Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 30 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible.

Kaldi

Kaldi

It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.

Deepspeech

Deepspeech

It 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.

Picovoice Leopard Speech-to-Text

Picovoice Leopard Speech-to-Text

It is an on-device speech-to-text engine. By processing voice data locally on the device, it offers private, reliable, fully-customizable, and cost-effective audio transcription experiences. It achieves big tech-level accuracy at a fraction of their costs.

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