Mesin Penerjemah secara live dan Video bergerak dengan menggunakan AI
Anonymous
36 x views • 3 years ago
Hanami Live translator, Anda membutuhkan keahlian AI untuk menerjemahkan bahasa? Ini adalah Hanami, penerjemah langsung yang menangkap audio apa pun yang berasal dari speaker dan mikrofon WINDOWS. Perlu diingat bahwa ini bukan produk resmi atau topik penelitian. Ini adalah konsep bukti mainan yang dapat membantu beberapa orang menemukan inspirasi. Gunakan dengan risiko Anda sendiri. Untuk menggunakannya, Anda memilih speaker yang ingin didengarkan oleh aplikasi (biasanya yang muncul saat Anda mengklik ikon speaker di sebelah jam bilah tugas) dan memilih bahasa sumber dan target. Itu dia! sekarang kata-kata yang diucapkan akan diterjemahkan! Aplikasi ini menggunakan multipemrosesan ringan dan memproses audio dalam potongan di mana setiap potongan membutuhkan waktu sekitar 3 - 5 detik untuk diproses. kunjungi situs http://bit.ly/3kwAaH6
The application will capture any sound that comes from the WINDOWS machine regardless of the app. (google meet, Microsoft teams, zoom, YouTube video, or anything that uses the speaker). The process uses low-level access to create hardware loopback which means even if the speaker is muted, it can listen to the content as it hooks itself to the motherboard audio stream. To run, the application will do the following:
Via threading the app will listen to your speaker and make a temporary denoised wav file every 5 seconds. This thread is always running resulting in no audio gaps.
The wav file content is turned into a NumPy array that is scaled and later transduced to text through google API given the source language.
Via threading the app will translate the text (given the source language) to the target language via apis.
The chart below shows the main steps that the Hanami Live translator takes to operate. With its three stages, it makes sure that there are no gaps between its audio chunks. The audio buffers and the resource utilization are maintained all the time to avoid any memory overhead. Needless to say, Hanami is an online system and requires an internet connection to operate. It checks access to the operating servers as soon as it starts and operates depending on the connection status.
The application will capture any sound that comes from the WINDOWS machine regardless of the app. (google meet, Microsoft teams, zoom, YouTube video, or anything that uses the speaker). The process uses low-level access to create hardware loopback which means even if the speaker is muted, it can listen to the content as it hooks itself to the motherboard audio stream. To run, the application will do the following:
Via threading the app will listen to your speaker and make a temporary denoised wav file every 5 seconds. This thread is always running resulting in no audio gaps.
The wav file content is turned into a NumPy array that is scaled and later transduced to text through google API given the source language.
Via threading the app will translate the text (given the source language) to the target language via apis.
The chart below shows the main steps that the Hanami Live translator takes to operate. With its three stages, it makes sure that there are no gaps between its audio chunks. The audio buffers and the resource utilization are maintained all the time to avoid any memory overhead. Needless to say, Hanami is an online system and requires an internet connection to operate. It checks access to the operating servers as soon as it starts and operates depending on the connection status.
