voice recognition software что это
14 Best Voice Recognition Software for Speech Dictation 2021
Why speech recognition technology rules
When it comes to maximizing your efficiency, you can’t just rely on technology. You need to utilize every natural thing you’ve got. And typing and clicking away just isn’t enough.
The best speech recognition software makes your voice as productive as your hands. It lets you control your devices or browsers, and manage your day-to-day surroundings.
Voice recognition Software for dictation
One of the best features of voice recognition software is dictation. Using speech-to-text technology, it transcribes what you say, as you say it, with few errors. You can speak notes to yourself on the go and have them sent by text or email. Longer texts are also not a problem for the best voice recognition apps.
In this article, we’ll define speech recognition technology, and look at the different types of voice recognition apps, focusing on dictation. Then we’ll dive into 14 of the best apps for voice recognition, speech-to-text dictation and transcription.
Voice recognition software comparison chart (top 10 highest rated)
Product
Best for
Pricing
Top speech to text app overall
Best voice recognition app for startups
Best free speech to text app
Good dictation tool for writers
Windows speech recognition
Best speech recognition tool for Windows
What is voice recognition software?
Voice recognition software are apps where you use your voice and speak in natural language. The best voice recognition software turns speech to text, and understands spoken commands.
Most people are familiar with personal assistants. These include Apple Siri, which came out first in 2011. Then there was Microsoft Cortana and Amazon Alexa which both came out in 2014. In 2016 we got the OK Google Assistant.
Interfacing with technology through speaking is becoming more important. Not long ago a Gartner study claimed about 30% of our interactions with our devices will be with some sort of voice recognition software.
And with more and better microphones on all our devices, we hardly need headsets anymore to use the best speech recognition software.
What are the different types of voice recognition software?
Depending on the speaker
There are two relationships between the speaker and the voice recognition software. The first is when the app learns the speech of one single speaker. This is called speaker-dependent. It’s great for iOS devices and Android devices.
Then there is speaker-independent software. This isn’t trained on one user. It can be used for any speaker equally. This is common in automated phone services. It’s also great for meetings. Some of the best dictation software can even recognize different voices and split the conversation.
Uses of voice recognition software
One of the main things you can do with voice recognition is dictation. The app transcribes your text as you speak in real-time.
The transcription can often be edited and shared in texts or emails. Great transcription software understands context too. It won’t mistake «my bare hands» for «my bear hands.» Some of the best voice recognition software for dictation does translation.
Voice commands are another useful tool. They let you control your computer without using the keyboard or mouse. This can be great for giving the hands a rest. It is also helpful to people with disabilities.
Voice recognition software can also be a personal assistant. As a virtual assistant, it can set reminders, send texts, schedule calendar events, and more all using voice commands. These can also be used personally for IoT devices like your music or room temperature.
Who uses voice recognition software
Just about anybody would find some voice recognition apps useful. Voice recognition is great to help you with your day-to-day. From setting reminders and placing online orders to controlling your electricity or heating.
They are also great work tools. Transcription software is very useful in a meeting or at a conference. It’s also good for when you have a lot of ideas and they are coming out faster than you can type. Some of the best transcription software lets teams collaborate on transcriptions, which is a great boost for a startup or any company.
Writers also benefit greatly from speech to text tools. Whether it’s for jotting down long notes while out and about, or dictating page after page when home working. Journalists can also use dictation apps when doing interviews.
It won’t be long until voice command technology takes over in many areas of our lives. Like driving, where our hands should stay on the wheel. It’s far better to use your voice to control certain things you shouldn’t use your hands for, like the radio or seat adjuster. The same is true for professionals like surgeons or automobile mechanics where hands-free is cleaner or safer.
What is the best voice recognition software? Here’s our top 14 list:
When it comes to the top speech recognition software, you’ve got a handful of options. Below are 14 of the best voice recognition apps for dictation. Many of these apps have other features too like voice control and virtual assistants. We compare the features and see which voice recognition software is the best overall, for dictation, for Windows, and other categories.
Dragon (Top speech to text app overall)
Dragon Naturallyspeaking is the suite of speech recognition apps by Nuance. This is a conversational AI company focusing on listening and analysis.
Dragon speech recognition software uses deep learning technology. It boasts an accuracy rate of 99%. That’s one of the highest rates out there. Aside from dictation, Dragon uses voice recognition for voice commands. You can browse the web, send emails or publish reports. Dragon integrates with Microsoft Office. It works on macOS, Windows, Android and iOS devices.
Dragon comes in several tiers. Several of the more popular ones are Dragon Anywhere for mobile, Dragon Home ($150), and Dragon Professional Individual ($300).
Распознавание и анализ речи с помощью библиотеки Speech Recognition, Pyaudio и Librosa
В основе систем распознавания речи стоит скрытая марковская модель, суть модели заключается в том, что при рассмотрении сигнала в промежутке небольшой длительности (от пяти до 10 миллисекунд), возможна его аппроксимация как при стационарном процессе.
Если простыми словами, скрытую марковскую модель можно объяснить на примере.
Допустим, есть два человека, которые каждый вечер созваниваются и обсуждают свои действия в течение дня. Выбор одного из друзей: ходил за покупками; гулял в парке; занимался домашними делами. При выборе активности, он полагался лишь на погоду. Второй же знал о погоде, которая была на тот момент в месте первого и, основываясь на выборе первого, мог догадаться, какая погода была в какой-то момент.
То есть, допустим, мы делим сигнал на фрагменты скажем в 10 миллисекунд и выделяем кепстральные коэффициенты, которые, по сути, являются графиком зависимости мощности от частоты сигнала отображающегося на векторе действительных чисел. Результатом скрытой марковской модели является последовательность этих векторов.
В последствии мы сопоставляем фонемы и эти векторы, а так как звук фонемы изменяется от источника к источнику, то процесс сопоставления требует обучения.
Для python существует несколько пакетов которые используются в данной сфере речи, такие как apiai, assemblyai и другие, но Speech Recognition выделяется среди них довольно высокой простотой использования.
Библиотека Speech Recognition — это, инструмент для передачи речевых API от компаний (google, microsoft, sound hound, ibm, а также pocketsphinx), который в отличие от остальных имеет возможность работы офлайн.
Для демонстрации работы в данной статье я буду использовать дефолтный Google Speech API.
Также для работы с инструментами потребуется библиотека pyAudio.
Установим библиотеку для распознавания речи:
Для работы с инструментами звукозаписи
Бываю некие сложности с установкой pyaudio через pip, поэтому альтернативный вариант — установка pipwin или conda
Для анализа звуковых данных
Для работы с wave файлами
и импортируем в код
Для начала нужно выставить параметры записи звука:
Далее нужно создать объект для обращения к устройству звукозаписи:
и открыть поток для записи звука:
Дальше нам нужно записать оцифрованную звуковую дорожку в файл.
Для этого нам и пригодится библиотека wave:
В итоге мы получаем готовую звуковую дорожку записанную с микрофона устройства и готовую к распознаванию для этого нам потребуется библиотека Speech Recognition:
Непосредственно для распознавания текста нам потребуется класс Recognizer он имеет множество функций, а также определяет каким API мы будем пользоваться:
Открываем записанный файл.
Для расшифровки сигнала мы будем использовать метод recognize_google().
Для использования данного метода необходим объект AudioData и для дальнейшей работы требуется преобразовать сигнал в объект модуля Speech_recognition для этого существует метод record():
но, перед тем как передать сигнал на расшифровку, нужно очистить его от шумов. У библиотеки speech_recognition есть для этого метод adjust_for_ambient_noise()
Так как выбранный нами Api поддерживает русский язык мы можем им воспользоваться:
Распознаватель возвращает: «Привет»
Таким образом у нас получается небольшой распознаватель речи буквально в пару строк кода. В момент, когда речь прекращается он автоматически переводит ее в текст.
Далее можно приступить к получению аналитических данных с помощью библиотеки librosa. Для начала загружаем наш файл:
в данном случае мы получаем значения временного ряда звука в качестве массива с частотой дискретизации.
Далее мы можем вернуть график массива нашей звуковой дорожки. Для работы с графиком импортируем pyplot из библиотеки matplotlib и используем librosa.display.waveplot() для построения графика массива:
В самом начале я упоминал про кепстральные коэффициенты, они обычно используются для определения тембральных аспектов музыкального инструмента или голоса и мы можем построить их тепловую карту и хроматограмму.
(Voice Recognition System (Software))
1 voice-recognition system
2 voice recognition system
inquiry/response system — система «запрос-ответ»
3 voice recognition system
4 voice recognition system
5 voice recognition system
6 voice recognition system
7 voice recognition system
8 voice recognition
9 voice recognition and synthesis system
10 system software
11 voice recognition
12 operating system software
13 voice-recognition technology
14 voice recognition
recognition network — распознающая сеть; схема распознавания
15 airborne automatic voice communications system
16 automatic alternate voice/data (system)
17 automatic radar pattern recognition (system)
18 airborne tracking, scquisition, and recognition (system)
19 command and control voice communications system
20 digital voice communications system
См. также в других словарях:
voice recognition — ➔ recognition * * * voice recognition UK US noun [U] IT ► a system where a computer or other equipment is operated by someone’s voice: »You can make calls either by manually selecting the contact or through voice recognition. voice recognition… … Financial and business terms
voice recognition — noun The function of a front end software system which processes input in the form of spoken language into electronic commands for a computing system. The app also employs voice recognition, letting users simply announce what theyre searching for … Wiktionary
system — noun 1 set of ideas/rules for organizing sth ADJECTIVE ▪ current, existing ▪ We re looking to replace the existing system. ▪ modern, new ▪ old fashioned … Collocations dictionary
recognition — rec‧og‧ni‧tion [ˌrekəgˈnɪʆn] noun [uncountable] 1. MARKETING when people know who a person is or what something is, or know something about them as soon as they see them or hear their name: • We are bigger than most companies and our name… … Financial and business terms
software — noun ADJECTIVE ▪ computer, PC ▪ application ▪ accounting, blogging, design, editing, educational, enterprise … Collocations dictionary
recognition — noun 1 remembering/identifying sb/sth ADJECTIVE ▪ immediate, instant ▪ early, prompt ▪ the early recognition of a disease ▪ dawning … Collocations dictionary
Voice activity detection — (also known as speech activity detection or, more simply, speech detection) is an algorithm used in speech processing wherein the presence or absence of human speech is detected in regions of audio. The main uses of VAD are in speech coding and… … Wikipedia
Software Innovation — can be understood in (at least) two ways:1. Software Product Innovation the creation of novel and useful software programs.2. Software Process Innovation the introduction of novel and useful ways of developing software.Innovation should be… … Wikipedia
Voice over IP — Digital voice redirects here. For the commercial service, see Comcast Digital Voice. Voice over Internet Protocol (Voice over IP, VoIP) is a family of technologies, methodologies, communication protocols, and transmission techniques for the… … Wikipedia
Voice User Interface — A Voice User Interface (VUI) makes human interaction with computers possible through a voice/speech platform in order to initiate an automated service or process.The VUI is the interface to any speech application. Controlling a machine by simply… … Wikipedia
Speaker recognition — Voice recognition redirects here. For software that converts speech to text, see Speech recognition. Speaker recognition is the computing task of validating a user s claimed identity using characteristics extracted from their voices. There is a… … Wikipedia
How to use Speech Recognition in Windows
Watch this video about how to use Speech Recognition to get around your PC. (To view captions, tap or click the Closed captioning button.)
Watch this video about how to use dictation with Speech Recognition. (To view captions, tap or click the Closed captioning button.)
Windows Speech Recognition makes using a keyboard and mouse optional. You can control your PC with your voice and dictate text instead.
Note: Speech Recognition is only available for the following languages: English (United States and United Kingdom), French, German, Japanese, Mandarin (Chinese Simplified and Chinese Traditional), and Spanish.
There are a few steps you need to take before you can start using Speech Recognition. First, you’ll need to set up a microphone. Then, you can train your PC to recognize your voice.
To set up a microphone
Before you set up Speech Recognition, make sure you’ve plugged the microphone into your PC so the following steps work.
Swipe in from the right edge of the screen, and then tap Search.
(If you’re using a mouse, point to the lower-right corner of the screen, move the mouse pointer up, and then click Search.)
You can also open Search with a keyboard by pressing Windows logo key + Q.
Enter Set up a microphone in the search box, and then tap or click Set up a microphone.
Follow the instructions on the screen.
Note: If possible, use a headset microphone; it’s less likely to pick up background noise.
To train your PC to recognize your speech
Speech Recognition uses a special voice profile to recognize your voice and spoken commands. The more you use Speech Recognition, the more detailed your voice profile becomes-and that should improve your PC’s ability to understand you.
Swipe in from the right edge of the screen, and then tap Search.
(If you’re using a mouse, point to the lower-right corner of the screen, move the mouse pointer up, and then click Search.)
You can also open Search with a keyboard by pressing Windows logo key + Q.
Enter Speech Recognition in the search box, and then tap or click Speech Recognition.
Tap or click Train your computer to better understand you.
Follow the instructions in the Speech Recognition Voice Training.
You can use your voice for many tasks, such as filling out online forms or typing letters. When you speak into the microphone, Speech Recognition transforms your voice into text on the screen.
To dictate text using Speech Recognition
Swipe in from the right edge of the screen, and then tap Search.
(If you’re using a mouse, point to the lower-right corner of the screen, move the mouse pointer up, and then click Search.)
You can also open Search with a keyboard by pressing Windows logo key + Q.
Enter speech recognition in the search box, and then tap or click Windows Speech Recognition.
Say «start listening,» or tap or click the microphone button to start the listening mode.
Open the app you want to use, or select the text box you want to dictate text into.
Say the text you want to dictate.
To correct mistakes
You can correct mistakes in three different ways:
To correct the last thing you said, say «correct that.»
To correct a single word, say «correct» followed by the word that you want to correct. If the word appears more than once, all instances will be highlighted, and you can choose the one you want to correct.
In the Alternates panel dialog box, say the number next to the item you want, and then say «OK.»
To add or change words in the Speech Dictionary
Using the Speech Dictionary, you can add your own words, stop a specific word from being dictated, or correct or delete a word in the dictionary.
Swipe in from the right edge of the screen, and then tap Search.
(If you’re using a mouse, point to the lower-right corner of the screen, move the mouse pointer up, and then click Search.)
You can also open Search with a keyboard by pressing Windows logo key + Q.
Enter speech recognition in the search box, and then tap or click Windows Speech Recognition.
Say «start listening,» or tap or click the microphone button to start the listening mode.
Say «open Speech Dictionary» and do any of the following:
To add a word to the dictionary, say «Add a new word,» and then follow the instructions.
To prevent a specific word from being dictated, say «Prevent a word from being dictated,» and then follow the instructions.
You can use simple, short commands to control your PC. The following table shows some of the most commonly used Speech Recognition commands. Words in bold indicate that you can replace the example word or phrase with similar words and get useful results.
You can also use keyboard shortcuts as verbal commands to control your PC. To view all of the available shortcuts, see Keyboard shortcuts.
Note: Any time you need to find out what commands to use, say «what can I say?»
Open the Start screen
Open the charms bar
Open the Search charm
Start working with an app
Right-click; Press Windows Z
Say what you want to do. For example, change to Celsius in the Weather app.
Select any item by its name
Click File; Start; View
Select any item or icon
Click Recycle Bin; Click Computer; Click file name
Double tap or double-click any item
Double-click Recycle Bin; Double-click Computer; Double-click file name
Switch to an open app
Switch to Paint; Switch to WordPad; Switch to program name; Switch application
Scroll in one direction
Scroll up; Scroll down; Scroll left; Scroll right
Insert a new paragraph or new line in a document
New paragraph; New line
Select a word in a document
Select a word and start to correct it
Select and delete specific words
Show a list of applicable commands
Update the list of speech commands that are currently available
Refresh speech commands
Turn on listening mode
Turn off listening mode
Move the Speech Recognition microphone bar
Move speech recognition
Minimize the microphone bar
Minimize speech recognition
View Windows Help and Support content about specific tasks
How do I do something?
For example, say «How do I install a printer?» and a list of Help topics is returned.
Note that this command is available only if you’re using the U.S. English Speech Recognizer.
Insert a new line in the document
Insert a new paragraph in the document
Insert the literal word for the next command (for example, you can insert the word «comma» instead of the punctuation mark)
Insert the numeral form of a number
Put the cursor before a specific word
Put the cursor after a specific word
Don’t insert a space before the next word
Go to the start of the sentence that the cursor is in
Go to start of sentence
Go to the start of the paragraph that the cursor is in
Go to start of paragraph
Go to the start of the document
Go to start of document
Go to the end of the sentence that the cursor is in
Go to end of sentence
Go to the end of the paragraph that the cursor is in
Go to end of paragraph
Go to the end of the current document
Go to end of document
Select the word in the current document
Select the word range in the current document
Select word range; Select word through word
Select all text in the current document
Select a number of words before the location of the cursor
Select previous 20 words; Select previous 10 words
Select a number of words after the location of the cursor
Select next 20 words; Select next 10 words
Select the last text you dictated
Clear the selection on the screen
Capitalize the first letter of the word
Capitalize all the letters of the word
Make all the letters in the word lowercase
Change the next number of words to uppercase
Change next 10 words to uppercase
Change the next number of words to lowercase
Change next 10 words to lowercase
Delete the previous sentence
Delete previous sentence
Delete the next sentence
Delete next sentence
Delete the previous paragraph
Delete previous paragraph
Delete the next paragraph
Delete next paragraph
Delete the selected or last dictated text
Press any key on the keyboard
Press keyboard key; Press a; Press capital b; Press Shift plus a; Press Ctrl plus a
Press certain keyboard keys without saying «press» first
Delete; Backspace; Enter; Page Up; Page Down; Home; End; Tab
Note: You can also use the ICAO\NATO phonetic alphabet to say the keyboard keys to press. For example, you can say «press alpha» to press «a» or «press bravo» to press «b.»
Using Speech Recognition to press keyboard keys works only with languages that use Latin alphabets.