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Top 10 Music Streaming Apps For Android OS

The days of buying music albums are gone with these music streaming services. These services provide thousands of music tracks of different genres and languages.

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Music Streaming Apps For Android

Music is something enjoyed by everyone. Each one has a different taste in music. To satisfy every individual’s music taste, multiple music apps have been released in the digital market. Music apps are easy to get and use.

The days of buying music albums are gone with these music streaming services. These services provide thousands of music tracks of different genres and languages. Choosing one out of such a large number of music apps can be tough. So here are some of the top music apps you can use for an enjoyable music experience.

Best Music Streaming Apps

1. Spotify

One of the most popular music streaming services, Spotify, provides a wide range of both old and new music collection. You can use the service for free, but features will be limited. To access all features of this app, you have to pay a monthly subscription fee of 9.99 pounds to get Spotify premium. It also provides a family plan for six people and a discount for students.

It has specific bpm playlists for the ones who listen to music while exercising. The application is pretty simple to use with an attractive interface and already has 80 million subscribers. You can listen to single tracks, entire albums, or even create your playlist with music of your choice.

Get in on Play Store

2. Tidal

Tidal is an excellent choice for the people who are particular about the quality of sound when they enjoy their music. Tidal users have access to 130,000 music videos and exclusive playlists. Artist discographies can be found on the app, and you can link directly to their social media channels.

It has a quite high subscription fee of 26 pounds per month if you want the high fidelity audio, which has a quality equivalent to that of a CD.

Get it on play store

3. Deezer

This streaming service comes with parental control so you can prevent you, children, from listening to explicit tracks. It provides family plans for the subscription.

Based on your musical taste, the app will give you a personalized playlist with excellent choices of music. However, the latest albums are not available immediately, and without the monthly subscription, you may be missing out on some features too.

4. Prime Music

Prime Music will be a part of your prime subscription on Amazon. The fun part of this app is that it creates a playlist with a mix of different songs, just like you would hear on the radio.

The number of tracks available is 2 million, which is less compared to the 40 million records available on Amazon’s paid music subscription. Still, the app is worth using as you can enjoy music without any advertisements interrupting. You can also skip as many albums as you want to.

5. YouTube Music

The popular video streaming platform YouTube has now come up with its music streaming service. You can access all the music in this app that is available in Youtube’s huge repository.

You can use this service for free, but ads may interrupt your music. With the monthly subscription of 10 pounds per month, ad-free music, background listening, and offline downloads can be availed.

Music Streaming Apps For Android OS

6. Google Play Music

This app will soon transform into YouTube Music. As of now, the app still grants the users access to the cloud-based music collection. It is easy to use, has some handpicked playlists and some custom radio stations.

On the free version, you can upload 50,000 of your tracks to the cloud and listen to them without any ads. If you have a Play Music subscription, then it will be converted to Youtube Music premium subscription once the transition is over.

7. Apple music

With a collection of 50 million songs, this app by apple is available for both Android and iOS devices. It has additional content like documentaries on artists and bands, concerts and similar things.

Free service is available only for three months to the new users. The subscription fee is 10 pounds, 5 pounds for students, and 15 pounds for family. You can also upload 100000 of your songs to Apple servers.

8. Shazam

This app plays the tracks after they are recognized using its music detection feature. It works better if paired with a streaming app as it is more of a music detection app. You can view the lyrics, and it also has a real-time chart. Android and iOS users can use this app.

9. TuneIn radio

You can access more than 120,000 live radio stations around the globe with TuneIn radio. For ad-free listening and other exciting features. You can go for 10 pounds monthly subscription or a 100 pounds yearly plan. If you want to stream music from the live radio station alone, then the app is free for you.

10. Soundcloud

A piece of totally free music streaming application, Soundcloud is a community of artists, musicians, podcasters, and more. You can stream free music and even record your song and post it. There are two premium options that you can get on payment for additional features.

All the apps have unique features for excellent user experience. Choose according to what you want.

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Internet

How do collect and train data for speech projects?

Data collection is the process of gathering, analyzing, and, measuring accurate data from diverse systems to use for business process decision-making, speech projects, and research.

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How do collect and train data for speech projects

With technology evolution, we are moving towards machine learning systems that can understand what we say. In our daily lives, we all have encountered many virtual assistants like Alexa, Siri, and others. These virtual assistants often help us in tuning the lights of our homes, finding information on the internet, and even starting a video conference. But do you know how it does that?

To produce results, these virtual assistants use natural language processing to understand the user’s intent. Natural Language Processing technology enables virtual assistants to understand user intent and produce outcomes. Basically, these virtual assistants are applications of automatic speech recognition and are also known as speech recognition software. This software uses machine learning and NLP to analyze and convert human speech data into text.

But, attaining maximum efficiency of these software requires the collection of substantial speech and audio datasets. The purpose of collecting these audio datasets is to have enough sample recordings that can be fed into automatic speech recognition (ASR) software.

Furthermore, these datasets can be used against the speakers using unspecified speech recognition models. And to make ASR software work as intended, speech data collection and audio datasets must be conducted for all target demographics, locations, languages, dialects, and accents.

Artificial Intelligence can be as intelligent as the data given to it. Hence, collecting data for feeding the machine learning model is a must to maximize the effect of ASR. Let’s discuss steps in speech data collection for effective automatic speech recognition training.

1. Create a Demographic Matrix

For creating a demographic matrix, the enterprise must consider the following information like language, locations, ages, genders, and accents. Along with these, it is a must to note down a variety of information related to environments like busy streets, waiting rooms, offices, and homes. Enterprises can also consider the devices people are using like mobile phones, headsets, and a desktop.

2. Collect and transcribe speech data

To train the speech recognition model, gather speech samples from real humans and take the help of a human transcriptionist to take notes of long and short utterances by following your key demographic matrix. In this way, human is a vital and essential part of building proper audio datasets and labeled speech and further development of applications.

6 Reasons to Transcribe Audio to Text

3. Build a separate test data

Once the text subscription is completed, it’s time to pair the transcribed test with the corresponding audio data and segment them to include one statement in each. Later on, take the segmented pairs and extract a random 20% of the data to form a set for testing.

4. Train the language model

To maximize the effectiveness of the speech recognition model, you can train the language model by adding general additional text that was not additionally recorded. For example in canceling a subscription, you recorded one statement that ‘I want to cancel my subscription, but you can also add texts like “Can I cancel my subscription” or “I want to unsubscribe”. To make it more effective and catchy you can also add expressions and relevant jargon.

5. Measure and Iterate

The last and important step is to evaluate the output of automatic speech recognition software to benchmark its performance. In the next step take the trained model and measure how well it predicts the test set. In case of any gaps and errors, engage your machine learning model in the loop to yield the desired output. 

Conclusion

From travel, transportation, media, and entertainment, the use of speech recognition software is evident. We all have been using voice assistants like Alexa and Siri to complete some of our routine tasks. To effectively use this speech recognition software requires proper training in the audio datasets and the use of relevant data for the machine learning model.

Proper execution and the right use of data make sure the speech recognition software going to work efficiently and enterprises can scale them for further upgrades and development. As data and speech recognition go hand in hand, make sure you are using data with the right approach.

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