An overview of digital speech watermarking

Digital speech watermarking is a robust way to hide and thus secure data like audio and video from any intentional or unintentional manipulation through transmission. In terms of some signal characteristics including bandwidth, voice/non-voice and production model, digital speech signal is different from audio, music and other signals. Although, various review articles on image, audio and video watermarking are available, there are still few review papers on digital speech watermarking. Therefore this article presents an overview of digital speech watermarking including issues of robustness, capacity and imperceptibility. Other issues discussed are types of digital speech watermarking, application, models and masking methods. This article further highlights the related challenges in the real world, research opportunities and future works in this area, yet to be explored fully

Digital audio watermarking with semi-blind detection for in-car music content identification

Recent developments in audio watermarking techniques have gone some way towards promoting an industry-wide acceptance of digital audio watermarking as a process that will eventually be used in all audio (and video) production. The predominant focus of such watermarking research has been in the area of content protection, because the prevention of illegal copying is an area of concern for content owners. However, digital audio watermarking may also be used for other purposes, such as the added-value option of real-time content identification of music. While computer-based users of music enjoy the opportunity to identify unknown audio using online tools, identification of audio in an offline domestic or in-car scenario is not so easily achieved. This paper discusses with an area of digital audio watermarking that would facilitate real-time in-car identification of the artists, title and/or other meta-data relating to music being broadcast by radio

PERBANDINGAN METODE LOW BIT CODINGDENGAN PHASE CODING PADA DIGITAL AUDIO WATERMARKING

Penggunaan file audio sebagai media distribusi informasi digital sangat populer sekarang ini karena semakin canggihnya perangkat keras maupun perangkat lunak yang dapat mengolah file audio digital tersebut. Ditambah lagi dengan semakin mudahnya akses internet dimana saja baik melalui perangkat mobile ataupun tidak. Karena semakin banyaknya penggunaan file audio digital oleh perorangan atau perusahaan misalnya dalam produksi musik, atau video klip maka semakin sulit untuk menentukan keaslian suatu file audio digital dan sulitnya mencegah tingkat tindak pencurian atau pembajakan yang sangat merugikan pihak pememilik hak cipta. Ada beberapa metode dalam menentukan keaslian file audio digital dan mencegah tindak pembajakan terhadap media digital, yaitu digital watermarking. Pada jurnal ini akan dibahas dua buah metode watermarking yaitu metode low bit coding dan phase coding. Tujuannya ialah untuk mengetahui beberapa kelebihan dan kekurangan dalam penerapannya kedalam file audio digital. Karena ada beberapa aspek yang harus diketahui dalam menentukan baik atau tidaknya tingkat pengamanan pada file audio digital. Sehingga kita dapat menentukan metode yang mana yang pantas digunakan dalam menentukan keaslian file audio digital dalam mencegah tindak pencurian atau pembajakan.Kata kunci :audio, watermarking, low bit coding, phase codin

IMPLEMENTASI AUDIO WATERMARKING MENGGUNAKAN DISCRETE COSINE TRANSFORM (DCT) IMPLEMENTATION OF AUDIO WATERMARKING USING DISCRETE COSINE TRANSFORM (DCT)

ABSTRAKSI: Watermarking merupakan suatu teknik untuk menyembunyikan suatu data digital pada data digital yang lain. Salah satu implementasi watermarking adalah audio watermarking. Teknologi watermarking pada data audio digital terbagi menjadi dua, yaitu temporal watermarking, menyembunyikan watermark langsung ke dalam audio dalam domain waktu dan spectral watermarking, adanya proses transformasi dari domain waktu ke domain frekuensi. Transformasi yang biasa digunakan misalnya DCT, FFT, DWT, dll. Namun pengimplementasian metode transformasi DCT dalam audio watermarking masih jarang dijumpai. Dalam tugas akhir ini diimplementasikan teknik audio watermarking, yaitu teknik menyisipkan suatu data digital berupa teks ke dalam file audio digital yang berformat *.wav dengan menggunakan transformasi DCT (Discrete Cosine Transform). Terhadap audio terwatermark dilakukan pengujian kualitas secara obyektif dan subyektif serta diadakan pengujian ketahanan watermark terhadap beberapa proses pengolahan sinyal. Dari pengujian yang telah dilakukan secara obyektif dan subyektif terhadap sistem audio watermarking menggunakan DCT diperoleh hasil bahwa audio terwatermark mempunyai kualitas menyerupai file audio aslinya bila nilai SNR yang dihasilkan diatas 78,538 dB dan kualitas audio watermark tergantung nilai koefisien pengali dan panjang teks. Hasil pengujian menunjukkan bahwa nilai koefisien pengali 0,001 menghasilkan kualitas audio terwatermark yang mendekati aslinya. Sedangkan dari pengujian ketahanan watermark terhadap pengolahan sinyal didapatkan bahwa dalam sistem audio watermarking menggunakan DCT, tingkat ketahanan watermark berupa teks sangat rentan terhadap perubahan.Kata Kunci : Audio Watermarking, Discrete Cosine TransformABSTRACT: Watermarking is technique to hide a digital data into another digital data. Audio watermarking is an implementation of watermarking. Digital audio watermarking technology consist of temporal watermarking which is directly hide watermark into audio on time domain and spectral watermarking which is use transformation from time domain into frequency domain. Commonly used transformations are DCT, FFT, DWT, etc. However implementation of employing the DCT method for audio watermarking still rare to meet. Audio watermarking a technique to embed digital data (in this case text) into digital audio file (WAV extension) was implemented on this thesis using Discrete Cosine Transform (DCT). Objective and subjective quality test was conducted into watermarked audio. Watermark robustness test against some digital signal processing also conducted. From objective and subjective test result to DCT based audio watermarking system, I conclude that watermarked audio have almost equal quality compared to original audio file if SNR resulted is above 78,538 dB and watermarked audio quality depend on multiplier coefficient and the text length. Test result show that on multiplier coefficient 0,001 quality of audio file close to it’s original. Meanwhile from watermark robustness test against digital signal processing I conclude that on DCT based audio watermarking system, robustness level on text watermark is very susceptible with alteration.Keyword: Audio Watermarking, Discrete Cosine Transfor

Digital Right Management (DRM) dan Audio Watermarking untuk Perlindungan Hak Cipta pada Konten Musik Digital

Pembajakan hak cipta terhadap konten musik digital masih menjadi masalah besar dalam industri musik. Hal tersebut dikarenakan mudahnya proses pembajakan dan kemudahan distribusi konten digital melalui internet. Isu perlindungan hak cipta menjadi hal sangat penting untuk diterapkan dalam industri musik. Digital right management (DRM) dan audio watermarking adalah cara yang bisa diterapkan untuk melindungi properti  intelektual hak cipta pada  konten musik digital melawan pembajakan.  Kata kunci: pembajakan musik, musik digital, digital audio, hak cipta, digital right management (DRM),  audio watermarking

Securing Audio Watermarking System using Discrete Fourier Transform for Copyright Protection

The recent growth in pc networks, and a lot of specifically, the planet Wide internet, copyright protection of digital audio becomes a lot of and a lot of necessary. Digital audio watermarking has drawn in depth attention for copyright protection of audio information. A digital audio watermarking may be a method of embedding watermarks into audio signal to point out genuineness and possession. Our technique supported the embedding watermark into audio signal and extraction of watermark sequence. We tend to propose a brand new watermarking system victimization separate Fourier remodel (DFT) for audio copyright protection. The watermarks area unit embedded into the best outstanding peak of the magnitude spectrum of every non-overlapping frame. This watermarking system can provides robust lustiness against many styles of attacks like noise addition, cropping, re-sampling, re-quantization, and MP3 compression and achieves similarity values starting from thirteen sound unit to twenty sound unit. Additionally, planned systems attempting to realize SNR (signal-to-noise ratio) values starting from twenty sound unit to twenty-eight sound unit. DOI: 10.17762/ijritcc2321-8169.15055

State-of-the-art in techniques of text digital watermarking: challenges and limitations

Data protection from malicious attacks and misuse has become a crucial issue. Various types of data, including images, videos, audio and text documents, have given cause for the development of different methods for their protection. Cryptography, digital signatures and steganography are the most well known technologies used to protect data. During the last decade, digital watermarking technology has also been utilized as an alternative to prevent media forgery and tampering or falsification to ensure both copyright and authentication. Much work has been done to protect images, videos and audio but only a few algorithms have been considered for text document protection with digital watermarking. However, our survey observed that available text watermarking algorithms are neither robust nor imperceptible and as such remain unsecured methods of protection. Hence, research to improve the performance of text watermarking algorithms is required. This paper reviews current watermarking algorithms for text documents and categorizes text watermarking methods based on the way the text was treated during the watermarking process. It also discusses merits and demerits of available methods as well as recent proposed methods for evaluating text watermarking systems and the need for further research on digital text watermarking

Software, Image and Audio Watermarking Algorithmic Techniques

Digital watermarking involves embedding a watermark value within a digital object, such as image, audio, video, text and software, to prove authenticity in case of intellectual property infringement. Headed to this direction, in this paper we survey our previous algorithmic techniques for software and image watermarking and present a new developing idea based on them for audio watermarking. Our watermarking techniques take as an input a watermark that is an integer $w$ which can be efficiently encoded as a self-inverting permutation $pi^*$. We demonstrate multiple representations of self-inverting permutations, namely reducible permutation graphs, two-dimensional and one-dimensional matrices. We propose efficient algorithmic techniques for watermarking software, image and audio that exploit self-inverting permutation representations in order to embed the watermark $w$ by making imperceptible modifications and producing equivalent watermarked objects of high fidelity