Speechmatics
Deepgram
Fraim
LumenVox ASR
Lilyspeech
Recordense
Speechnotes
Temi
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
monkeylearn
OpenNLP
Speechmatics exists to understand every voice. Offering its speech-to-text API engine for solution and service providers to integrate into their stack irrespective of their industry or use case. Businesses use Speechmatics around the world to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect or location.
SpeechmaticsBased on our record, spaCy seems to be a lot more popular than Speechmatics. While we know about 58 links to spaCy, we've tracked only 1 mention of Speechmatics. 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.
Have you tried https://speechmatics.com/ ? I think they have a specially tuned medical version, and quite a generous free allowance. - Source: Hacker News / about 1 year ago
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / 3 months ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 7 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 8 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 10 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 12 months ago
Deepgram - Search engine for speech
Amazon Comprehend - Discover insights and relationships in text
Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…
Google Cloud Natural Language API - Natural language API using Google machine learning
LumenVox ASR - LumenVox Automated Speech Recognizer (ASR) is a software solution that converts spoken audio into text, providing users with a more efficient means of input.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
