Discover a new và fun way lớn learn English and other languages by playing with the videos & lyrics of your favorite songs.
Bạn đang xem: Big data applications in geography and planning: an essential companion
How it works
It's very easy và fun, just play a tuy vậy and enjoy testing your listening comprehension by filling in the gaps in the tuy nhiên lyrics as fast as you can. Let your brain do the rest.
Enhance your listening
Train your brain lớn recognize the words và sounds of foreign languages. Listening to different accents & pronunciations gives your brain more flexibility.
Expand your vocabulary
Learning new words và expressions in the context of song lyrics can be more effective than memorizing endless lists of isolated words or phrases.
Boost your grammar
According to experts, true language acquisition does not require the conscious use of grammatical rules. Gradually digest them with daily practice.
Get better pronunciation
Your favorite songs get stuck in your head, just try singing them in karaoke mode & you will see that your pronunciation improves quickly.
Music và learning
Multiple studies have shown that music stimulates learning và promotes memorization in a natural way, just lượt thích when we were kids. Music has the power to lớn shape your brain to lớn make learning other languages easier và smoother.
Time to play!
Different game modes
Select the correct option, type the missing words or just enjoy the karaoke mode.
Translate any word or expression
If you can't guess the meaning of a word or expression, use our built-in translator.
Compete with others
Get the best score by competing against users from all over the world or challenge your friends.
Level up and kiểm tra your progress
Practice daily, build a routine và improve like never before to lớn reach your goals.
Just found what I have been looking for! Thanks for the great app and for making it possible to lớn learn languages through an effective và fun way!
It is fantastic guys! You deserve more than five a stars. It is helping me a lot. I can hear my favorite songs, play with lyrics and increase my vocabulary.
Love this way of learning how khổng lồ recognize và pronounce European Portuguese. Signed up for the paid version và very happy with the app.
Try it now
Millions of users around the world already enjoy learning languages through music… what are you waiting for?
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres & artist styles. We’re releasing the mã sản phẩm weights and code, along with a tool khổng lồ explore the generated samples.
Audio generation, Transformers, Generative models, Open source, Jukebox, Milestone, Publication, Release
Provided with genre, artist, & lyrics as input, Jukebox outputs a new music sample produced from scratch. Below, we show some of our favorite samples.
Automatic music generation dates back lớn more than half a century.<^reference-1><^reference-2><^reference-3><^reference-4> A prominent approach is to generate music symbolically in the form of a piano roll, which specifies the timing, pitch, velocity, and instrument of each chú ý to be played. This has led khổng lồ impressive results like producing Bach chorals,<^reference-5><^reference-6> polyphonic music with multiple instruments,<^reference-7><^reference-8><^reference-9> as well as minute long musical pieces.<^reference-10><^reference-11><^reference-12>
But symbolic generators have limitations—they cannot capture human voices or many of the more subtle timbres, dynamics, and expressivity that are essential khổng lồ music. A different approach<^footnote-approach> is to model music directly as raw audio.<^reference-13><^reference-14><^reference-15><^reference-16> Generating music at the audio màn chơi is challenging since the sequences are very long.<^reference-17> A typical 4-minute song at CD quality (44 k
Hz, 16-bit) has over 10 million timesteps. For comparison, GPT-2 had 1,000 timesteps and Open
AI Five took tens of thousands of timesteps per game. Thus, lớn learn the high cấp độ semantics of music, a model would have to giảm giá with extremely long-range dependencies.
One way of addressing the long input đầu vào problem is khổng lồ use an autoencoder that compresses raw audio lớn a lower-dimensional space by discarding some of the perceptually irrelevant bits of information. We can then train a mã sản phẩm to generate audio in this compressed space, and upsample back khổng lồ the raw audio space.
Xem thêm: Tiết dạt hoạt động góc - giáo án hoạt động góc chủ đề: bản thân
<^reference-25><^reference-17>
We chose to work on music because we want to lớn continue to lớn push the boundaries of generative models. Our previous work on Muse
Net explored synthesizing music based on large amounts of MIDI data. Now in raw audio, our models must learn to tackle high diversity as well as very long range structure, and the raw audio tên miền is particularly unforgiving of errors in short, medium, or long term timing.
Raw audio 44.1k samples per second, where each sample is a float that represents the amplitude of sound at that moment in time