Top 5 Surprising Expressions In Indian English
I Passed Out of College
People go to college to get an education. It requires time, effort, and a lot of struggle. Therefore, graduating from college is an achievement for every student and a proud moment for parents. A native English speaker would say that ‘I graduated from College,’but in Indian English, it is quite different. It is ‘I passed out of college’
I Belong to Delhi
Whenever you ask people in the United States or the United Kingdom, where are you from? You will get a reply that ‘I am from Texas’ or ‘I am from Newcastle,’but an Indian would say that ‘I belong to Delhi’. Indian English is completely different but a little simplified for Indians.
My Teacher is Sitting on My Head
This is one expression that no native English speaker can understand. You would also believe how a teacher can sit on someone’s head. In Indian English, it means that the teacher is stressing me out. The teacher is annoying, which is equivalent to sitting on the head.
My Friend is Eating My Brain
The exact meaning of this expression in Hindi is ‘mera friend mera dimagh kha raha hai’. It simply means that the friend is constantly talking and is being a headache for the person. Because of the rubbish talking, the friend is consuming the brain or the energy of the listener.
Monkey Cap
How Do English Text To Speech Programs Work
Most of the text-to-speech tools work similarly. You must type the text you want to convert to voice or copy from the text file into the input box. Then you have to select the voices available and preview the audio. We are talking English here, so you need to choose the language and accent of the English . Once you find the most suitable voice, you can generate and download the mp3 file.
Convert Text To Speech Online Free Unlimited
With the basic or premium plan, we offer unlimited English Text-to-speech. It includes unlimited number of converted characters, number of conversions. You can create a lot of text-to-speech conversions without any limitations.
The cost of text to speech systems has dropped dramatically in recent years much faster than most anticipated. As a result, these systems are now accessible to the general public without requiring any financial means or technical expertise. Anyone with an internet connection and an audio device can create their own text to speech system. No technical knowledge is required whatsoever only an internet connection and web browser.
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Feature Extraction With Mfcc
Mel Frequency Cepstrum Coefficient Analysis is the reduction of an audio signal to essential speech component features using both Mel frequency analysis and Cepstral analysis. The range of frequencies are reduced and binned into groups of frequencies that humans can distinguish. The signal is further separated into source and filter so that variations between speakers unrelated to articulation can be filtered away.
a)Mel Frequency Analysis
Only those frequencies humans can hear are important for recognizing speech. We can split the frequencies of the Spectrogram into bins relevant to our own ears and filter out sound that we cant hear.
Frequencies above the black line will be filtered out
b) Cepstral Analysis
We also need to separate the elements of sound that are speaker-independent. We can think of a human voice production model as a combination of source and filter, where the and the filter is the articulation of words that we all use when speaking.
Cepstral analysis relies on this model for separating the two. The cepstrum can be extracted from a signal with an algorithm. Thus, we drop the component of speech unique to individual vocal chords and preserving the shape of the sound made by the vocal tract.
Thus MFCC Features Extraction,
- Reduced the dimensionality of our data and
- We squeeze noise out of the system
So there are 2 Acoustic Features for Speech Recognition:
- Mel-Frequency Cepstral Coefficients :
Phonetics
phonemes define the distinct sounds
Speech Synthesizer For English Audio With Indian Accent
Abstract
The main aim of the project is to generate synthetic Speech in Indian accent. The synthesizer will take input as a transcript and produce audio file as a output. Primarily we will learn theoretical aspects of speech synthesis and apply them to develop complete code to synthesis audio. We will use Text processing which is responsible for determining all knowledge about the text that is not specifically phonetic and Phonetic analysis which focuses on the phone level within each word, tagging each phone with information about what sound to produce and how to produce it. General issues such as NLP, DSP, different voices, accents and multiple languages, HMM model, phonemes are discussed. As we know Indian Accent is different from that of American or British Accent. Hence our focus is on Indian accent. This would largely help even for those people who cannot understand the American accent. The speech synthesizer has enormous applications such as reading for blind people, telecommunication services, language education, aid to handicapped person, talking books and toys, call centre automation.
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What Is Text To Speech Converter
This tool helps you to easily convert your written text into speech or voice. You can hear the audio recitation of the text instantly. Whether a single character or big paragraph you will be able to listen to it.
How does it work?
The text to voice tool uses a speech synthesizing technique in which the text is at first converted into its phonetic form. Our database already has the human audio for all the phonetics or you can simply say transcriptions. Matching phonetics and their sounds are adjoined. Therefore, as a result, you can hear the transcripted voice.
Hidden Markov Models In Speech
HMMs are useful for detecting patterns through time. HMMs can solve problem of time variability, i.e. the same word spoken at different speeds.
We could train an HMM with labelled time series sequences to create individual HMM models for each particular sound unit. The units could be phonemes, syllables, words, or even groups of words.
If we get a model for each word, then recognition of a single word comes down to scoring the new observation likelihood over each model.
Word brick connected continuously in nine different utterance combinations
To train continuous utterances, HMMs can be modelled for pairs. Eg: HER-BRICK. This will increase dimensionality. Not only will we need an HMM for each word, we need one for each possible work connection.
But if we use Phonemes, the dimensionality increase isnt as profound as with words, for a large vocabulary. For 40 phonemes, we just need 1600 HMMs to account for the transitions.
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Tts And Choosing The Best Voices
TTS is short for text-to-speech. These apps are pieces of software that turn what you type into speech and play it as an WAV or mp3 file. Speechify is a great example, as it uses OCR-based technology, machine learning, and advanced artificial intelligence to process words into natural-sounding speech.
The main idea behind TTS speech services is to help people with reading and learning difficulties. Some of these are dyslexics, people with ADHD, and those with poor vision. With a voiceover audio file, they can overcome their struggle and experience written words like others.
Of course, a piece of speech synthesis software is perfect if youre looking to learn a new language. By typing the text from your schoolbook, youll immediately get the response from a synthetic voice that allows you to understand the proper pronunciation.
Furthermore, text-to-speech apps are great for people who just cant bother reading. They can paste the text from a digital copy of a document into the app and turn it into speech. As such, its possible to multitask as you drive or jog while listening to literature.
One of the main features of high-quality TTS apps like Speechify is that they offer various voices for you to choose from. These differ in their sonic characteristics, sounding like male or female, deep or pitched-up, British or American, andinterestingly enoughIndian English.
Benefits of different voice dictions in TTS
Tts In Assistive Technology
For quite some time now, text to speech software has been used as an accessibility tool for individuals with a variety of special needs linked to Dyslexia, visual impairments, or other disabilities that make it difficult to read traditional text. Using TTS platforms, people facing such problems can convert text to speech and learn by listening on the go. Text to speech solutions also improves literacy and comprehension skills. When used in language education, they can make learning more engaging. For example, it’s much easier and faster to apprehend a foreign language when listening to the live translation of written words with correct intonation and pronunciation than when reading.
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Tamil Speech Synthesis Markup Language Support
Full SSML support. You can send Speech Synthesis Markup Language in your Tamil Text-to-Speech request to allow for more customization in your audio response by providing details on pauses, and audio formatting for acronyms, dates, times, abbreviations, addresses, or text that should be censored. See the Speech-to-Text SSML tutorial for more information and code samples.
Acoustic Models And The Trouble With Time
With feature extraction, weve addressed noise problems as well as variability of speakers. But we still havent solved the problem of matching variable lengths of the same word.
Dynamic Time Warping calculates the similarity between two signals, even if their time lengths differ. This can be used to align the sequence data of a new word to its most similar counterpart in a dictionary of word examples.
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Convert Text To Speech In Mp3 Format
From video games to commercials to podcasts to training videos, we encounter voiceovers everywhere. When it comes to creating a video with a voiceover, there are several critical aspects to be kept in mind. While the quality of the video is one of them, the audio is equally important because it helps to deliver the message as intended and forms the basis of what will capture the attention of the audience. When creating audio content like audiobooks or podcasts or audio ads like Spotify ads or Radio ads, voiceover becomes a core aspect to deliver the story. In other words, a professional voiceover can give a much-needed boost to usual and ordinary content.
This is where text to speech plays its part. Text to speech software simplifies the process of converting text files to audio, making content readily accessible to everyone. The converted audio file can be downloaded in the form of a .mp3, .wav, .wma, or .flac files.
mp3 is one of the most popular and preferred file formats because of its compact file size, compatibility with digital media players, and good sound quality. To convert your text to professional-sounding text to speech mp3 with natural voices, all you have to do is download the rendered voiceover file in mp3 by choosing the â.mp3â option. And, tada! You have your tts in mp3 format ready.
Top Five Use Cases Of Text To Speech Software
From increasing brand visibility and customer traction to improving customer service and boosting customer engagement to helping people with visual impairments, reading difficulties, and learning disabilities, text to speech is proving to be a game-changing technology across industries.
Considering the myriad of benefits offered by TTS technology and how simple they make information retention, businesses are integrating best text to speech softwares into their workflow in one form or another. Here is a glimpse of all the ways text to speech is currently being utilized:
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What Is The Indian Accent Text To Speech Solution
Indian accent text to speech programming permits you to change composed texts into discourse. TTS can transmit a more conscious sound, giving moment human satisfaction utilizing IVR calls.
Indian accent text-to-speech applications expand your scope to clients to scale your business.
Offer Human-like Voice Quality
However, Offer an Indian-based emphasis on near-human voice to your clients.
Control your Voice
Assume responsibility for the pitch with an ideal conveyance with an Indian Accent.
Highlight and numerous dialects
TTS covers various worldwide jargon like English, Hindi, or Indian articulations.
Crusade customization
Nonetheless, You can customize the discourse or voice tweak as indicated by the item or administration and the nature of the mission.
Set Reminders/Alerts
Therefore, Send programmed updates for occasions, due dates, arrangements, and other significant data.
Savvy
Adaptable evaluating choices give more noteworthy straightforwardness and command over costs.
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Therefore, Control the discourse rate, volume, accentuation on text, and elocution as per setting.
Voice QualityHowever, Control the volume, accents, elocution, and discourse rate.
Increment IVR OptionThus, Add an immediately recorded voice to the IVR script and give numerous choices immediately.
Text-To-Speech Solution Use Cases
Improved ROIMoreover, TTS makes it simpler for organizations to impart and offer better assistance types.
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Facts About The Indian English Language:
English was brought to Britain in the mid 5th to 7th centuries. If you were to ask those who don’t speak English whether or not it’s a hard language to learn, you’d likely get more than a few who insist that it is among the hardest.
Though, it can be argued that English is easy since it has no gender, no word agreement, and no cases. Yet, it does have words such as through, threw, and thru, all sounds the same, but are spelled differently, and can’t be used interchangeably.
English also has polish, and Polish. One is used to make furniture shine, while the other is a language. Or take resume and resume, one is used when you’re filling out job applications, and the other is used when you want to tell someone to carry on with what they’re doing.
As you can see above, the English language can be challenging, however, it’s far from the most difficult language to learn. With a bit of study, and some practice, almost anyone can learn English. One of the best ways to learn the language is to find a friend who speaks English, and is willing to have conversations with you. This will help you immerse yourself in the language and pick up on the nuances, and speech patterns of English. With a bit of practice, you’ll soon be speaking English like it’s your native language.
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Indian Accent Text To Speech
TEXT TO SPEECH SOFTWARE:
Text to speech software Is the technological advancement in the tools and software industries that is used to read text aloud. The sound generated after clicking on the selected text is computer generated and can be controlled through human hands. The followings are some of the tips that must be kept in mind while using text-to-speech software.
Speech Recognition With Custom Models
Below is the gist of architecture considerations while designing a deep learning model for speech recognition.
- RNN Units: due to its effectiveness in modeling sequential data
- GRU Units:to solve exploding gradients problem while using simple RNN
- Batch Normalization: to reduce training times.
- TimeDistributed Layer: to find more complex patterns
- CNN Layer: 1D convolution layer adds an additional level of complexity
- Bidirectional RNNs: to exploit future context, process data in 2 directions
Model 1: CNN + RNN + TimeDistributed Dense
Model 2: Deeper RNN + TimeDistributed Dense
If you change the GRU units to SimpleRNN cells, then the loss can become undefined due to the exploding gradients problem. To solve this, use gradient clipping
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Indian Accent Speech Recognition
Traditional ASR and DNNs on Indian Accent Speech
< < Uploaded the pre-trained model owing to requests > > The generated trie file is uploaded to pre-trained-models directory. So you can skip the KenLM Toolkit step.
To understand the context, theory and explanation of this project, head over to my blog:
Gujarati Text To Speech Voices
Check out the Text to speech Gujarati Demo page to hear 4 Gujarati voices in action.
Check out the Hebrew Text to Voice Demo page to hear 2 Hebrew voices in action.
Check out the Hindi Text to Speech Demo page to hear 7 Hindi voices in action.
Check out the Hungarian Text to Speech Online Demo page to hear 3 Hungarian voices in action.
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Data Source/ Training Data:
Indic TTS Project: Downloaded 50+ GB of Indic TTS voice DB from Speech and Music Technology Lab, IIT Madras, which comprises of 10000+ spoken sentences from 20+ states
You can also record your own audio or let the ebook reader apps read a document. But I found it is insufficient to train such a heavy model. Then I requested support of IIT Madras, Speech Lab who kindly granted access to their Voice database.
Learn About English Indian Voice Actors
English-speaking Indian voice actors are often booked for projects. Utilize Voquent, the voice actor agency’s tools, to reach out to them.
Indian accents are one of the most popular in tech. Due to their wide usage by the likes of Google, they are now associated with someone who has a plethora of modern tech knowledge. The accent is often also used in scientific frontiers, genuinely professional Indian voice actors do not fail to come across as intelligent and informed. You can harness this for your business.
Indian accents can also come across as ‘comical’ to many due to the unique rhythm that is found in their speech. So, as you can see it is far more flexible than some may make it out to be and definitely deserves respect.
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Text To Speech Voices
Narakeet helps you create narration in 80+ languages using text to speech for video voice over.
Below is a list of currently supported voices and languages. Check out our guide on Testing text-to-speech for information on easily trying out these voices.
To request support for an additional language, contact us directly.