Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Overview

Speech_38_ru_commands

Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Программа умеет распознавать 38 ключевых слов на русском языке , произнесенных в микрофон из списка:

дальше, вперед, назад, вверх, вниз, выше, ниже, домой, громче, тише, лайк, дизлайк, следующий, предыдущий, сначала, перемотай, выключи, стоп, хватит, замолчи, заткнись, останови, пауза, включи, смотреть, продолжи, играй, запусти, ноль, один, два, три, четыре, пять, шесть, семь, восемь, девять.

Используемая модель была подготовлена для соревнования Yandex Cup 2021 ML Challenge: ASR. Получило 3 место из 54 участников. с показателем точности 92.01

Скачать модель по ссылке https://disk.yandex.ru/d/L053qF-0OPKlog

Пример запуска программы:

python speech_38_ru_commands.py --porog 1.2

где , число 1.2 - это порог уверенности в команде. Можно задавать в диапазоне 0.0 - 7.9999

Owner
Andrey
Andrey
Tool which allow you to detect and translate text.

Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr

Damian Panek 176 Nov 28, 2022
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x using fastT5.

Reduce T5 model size by 3X and increase the inference speed up to 5X. Install Usage Details Functionalities Benchmarks Onnx model Quantized onnx model

Kiran R 399 Jan 05, 2023
A fast, efficient universal vector embedding utility package.

Magnitude: a fast, simple vector embedding utility library A feature-packed Python package and vector storage file format for utilizing vector embeddi

Plasticity 1.5k Jan 02, 2023
Task-based datasets, preprocessing, and evaluation for sequence models.

SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models. SeqIO is a library for processing sequential data to be fed into downst

Google 290 Dec 26, 2022
This repository details the steps in creating a Part of Speech tagger using Trigram Hidden Markov Models and the Viterbi Algorithm without using external libraries.

POS-Tagger This repository details the creation of a Part-of-Speech tagger using Trigram Hidden Markov Models to predict word tags in a word sequence.

Raihan Ahmed 1 Dec 09, 2021
Topic Modelling for Humans

gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ

RARE Technologies 13.8k Jan 02, 2023
🏆 • 5050 most frequent words in 109 languages

🏆 Most Common Words Multilingual 5000 most frequent words in 109 languages. Uses wordfrequency.info as a source. 🔗 License source code license data

14 Nov 24, 2022
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS)

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS) Yoonhyung Lee, Joongbo Shin, Kyomin Jung Abstract: Although early

LEE YOON HYUNG 147 Dec 05, 2022
This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers.

private-transformers This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers. What is this? Why

Xuechen Li 73 Dec 28, 2022
HAN2HAN : Hangul Font Generation

HAN2HAN : Hangul Font Generation

Changwoo Lee 36 Dec 28, 2022
1 Jun 28, 2022
C.J. Hutto 3.8k Dec 30, 2022
Text classification on IMDB dataset using Keras and Bi-LSTM network

Text classification on IMDB dataset using Keras and Bi-LSTM Text classification on IMDB dataset using Keras and Bi-LSTM network. Usage python3 main.py

Hamza Rashid 2 Sep 27, 2022
Creating an LSTM model to generate music

Music-Generation Creating an LSTM model to generate music music-generator Used to create basic sin wave sounds music-ai Contains the functions to conv

Jerin Joseph 2 Dec 02, 2021
AI-Broad-casting - AI Broad casting with python

Basic Code 1. Use The Code Configuration Environment conda create -n code_base p

This repository describes our reproducible framework for assessing self-supervised representation learning from speech

LeBenchmark: a reproducible framework for assessing SSL from speech Self-Supervised Learning (SSL) using huge unlabeled data has been successfully exp

49 Aug 24, 2022
apple's universal binaries BUT MUCH WORSE (PRACTICAL SHITPOST) (NOT PRODUCTION READY)

hyperuniversality investment opportunity: what if we could run multiple architectures in a single file, again apple universal binaries, but worse how

luna 2 Oct 19, 2021
Beautiful visualizations of how language differs among document types.

Scattertext 0.1.0.0 A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding t

Jason S. Kessler 2k Dec 27, 2022
Understanding the Difficulty of Training Transformers

Admin Understanding the Difficulty of Training Transformers Guided by our analyses, we propose Adaptive Model Initialization (Admin), which successful

Liyuan Liu 300 Dec 29, 2022