that micro lib will help You with web speech api
SDK for capturing utterance history.
React HOC for Utterance comment widget
utility functions that normalize utterance texts
Utterance Resolution SDK
Text macro expansion tailored for Alexa/Lex utterance syntax.
Expand custom utterance slots of phrases, to use with Alexa Skills Kit Sample Utterances
Expand custom utterance slots of phrases, to use with Alexa Skills Kit Sample Utterances
Multi-platform Utterance Registry for Botkit
A TypeScript library for converting AssemblyAI transcripts to ASS subtitle files with multiple display strategies (full utterance, word-by-word, karaoke, word highlight) and natural sentence splitting
Parse an intent utterance file, like the Alexa Skills Kit Sample Utterance file.
A simple utterance file to markdown text parser
Simple End of Utterance (EOU) detection using LiveKit's ML model. Tells you the probability that someone is done speaking.
Alexa Skill Utterance Builder GUI powered by alexa-utteranaces
A React component that synthesis text into speech using Web Speech API
Helper to create the utterance strings for an Amazon Echo skill
Compiles short-hand notation for alexa utterances into exhaustive utterances needed by Alexa
Sample utterance generator for Amazon Echo apps
Add a bit of seasoning to your SALT files! Converts a one or more of SALT files into a single CSV with a row for each utterance where the columns count the number times a code appears in each utterance.
Client-side semantic endpointing. Know when they're done talking.
Deterministic regex-based intent classifier. Labels an utterance as directive, constraint, question, preference, or exploration without calling an LLM.
Use Microsoft LUIS Authoring API to build a LUIS app from utterance examples parsed by Ayalon
Profile an interaction model for popular NLUs
A Node.js library for recording audio in a browser, performing speaker detection, and emitting chunks of mp3 encoded audio representing utterances for further processing.
Pure-Rust inference for VoxCPM2 on top of the Burn framework (Vulkan + CPU).
AI-native macOS menu bar dictation for developers.
Deterministic partial date extraction from natural language text, with sensible defaults and extensive configurability.
Safe Rust bindings for AVSpeechSynthesizer — Apple's text-to-speech APIs on macOS
Loxone Config-as-Code CLI — download, inspect, edit, and push Loxone configs
AI-native macOS menu bar text-to-speech and MCP server for agents.
Parse and convert numbers written in English, Dutch, Spanish, Portuguese, German, Italian or French into their digit representation.
An unofficial Rust crate for interacting with the wit.ai API
Voice AI framework for Rust — real-time speech pipelines with STT, LLM, TTS, and Dhara conversation flows
Rust wav2vec2 CTC forced alignment with CPU, wgpu, and CUDA backends.
Haqumei is a Japanese Grapheme-to-Phoneme (G2P) library implemented in Rust.
카카오 챗봇 JSON 제작 헬퍼 in Rust
A trainable natural language parser that extracts intent and entities from utterances.
Utter is a Domain-specific Microservices Framework written in Ruby. Utter helps you divide up your software project into fun-sized independently deployable API endpoints.
Checks an utterance against an invocation keyword from the available skills and returns an Alexa formatted response to be passed to the skill's endpoint service.
A translation language for defining user utterance examples in conversational interfaces.
A simple ruby library that let's any developer automate the training process of a Natural Language Processing Engine on API.AI, and retrieve meaning from new utterances.
Utter provides a standard API to allow any class to emit events. It abstracts away event queueing and propagation so you don't have to worry about it.
This gem aims to provides alternative ways to utter Ruby code, simply defining synonyms for miscellaneous terms, especially offering full word counterpart to ideograms/logograms such as the so called *spaceship operator*. The name of the gem is of course a pun: a library which provides ability to utter coder which is closer to a voiceable English obviously ought to do it so through an obvious transgression of this language usual rules on superlatives.
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