Deep Learning Techniques for Music Generation -- A Survey

This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content. We propose a methodology based on five dimensions for our analysis: Objective - What musical content is to be generated? Examples are: melody, polyphony, accompaniment or counterpoint. - For what destination and for what use? To be performed by a human(s) (in the case of a musical score), or by a machine (in the case of an audio file). Representation - What are the concepts to be manipulated? Examples are: waveform, spectrogram, note, chord, meter and beat. - What format is to be used? Examples are: MIDI, piano roll or text. - How will the representation be encoded? Examples are: scalar, one-hot or many-hot. Architecture - What type(s) of deep neural network is (are) to be used? Examples are: feedforward network, recurrent network, autoencoder or generative adversarial networks. Challenge - What are the limitations and open challenges? Examples are: variability, interactivity and creativity. Strategy - How do we model and control the process of generation? Examples are: single-step feedforward, iterative feedforward, sampling or input manipulation. For each dimension, we conduct a comparative analysis of various models and techniques and we propose some tentative multidimensional typology. This typology is bottom-up, based on the analysis of many existing deep-learning based systems for music generation selected from the relevant literature. These systems are described and are used to exemplify the various choices of objective, representation, architecture, challenge and strategy. The last section includes some discussion and some prospects.Comment: 209 pages. This paper is a simplified version of the book: J.-P. Briot, G. Hadjeres and F.-D. Pachet, Deep Learning Techniques for Music Generation, Computational Synthesis and Creative Systems, Springer, 201

Effects of pitch and timing expectancy on musical emotion

Pitch and timing information work hand in hand to create a coherent piece of music; but what happens when this information goes against the norm? Relationships between musical expectancy and emotional responses were investigated in a study conducted with 40 participants: 20 musicians and 20 non-musicians. Participants took part in one of two behavioural paradigms measuring continuous expectancy or emotional responses (arousal and valence) while listening to folk melodies that exhibited either high or low pitch predictability and high or low onset predictability. The causal influence of pitch predictability was investigated in an additional condition where pitch was artificially manipulated and a comparison conducted between original and manipulated forms; the dynamic correlative influence of pitch and timing information and its perception on emotional change during listening was evaluated using cross-sectional time series analysis. The results indicate that pitch and onset predictability are consistent predictors of perceived expectancy and emotional response, with onset carrying more weight than pitch. In addition, musicians and non-musicians do not differ in their responses, possibly due to shared cultural background and knowledge. The results demonstrate in a controlled lab-based setting a precise, quantitative relationship between the predictability of musical structure, expectation and emotional response.Comment: 53 pages, 5 figures; Submitted to Psychomusicolog

Brazilian piano through the ages: A look at the development in style through the context of social issues and historical influences

This project seeks to explore the development of piano music in Brazil, through the historical and social context of five different composers: Chiquinha Gonzaga, Ernesto Nazareth, Heitor Villa-Lobos, Francisco Mignone, and Edmundo Villani-Côrtes. By studying representative pieces of these composers, main influences are revealed, such as avoidance of or defying social stigmas, the impact of choro music, the influence of folklore and folk tunes, and the European and Romantic piano tradition. Furthermore, through the work of a composer still living today, we can trace these historical aspects into the modern day

Music, Myth and Motherland: Culturally Centered Music & Imagery

This study assessed ethnic identity in adults of Indian origin through Culturally Centered Music & Imagery (CCMI), a music-centered, psychotherapeutic technique that emphasizes socio-cultural context, identity and meaning. The purpose was to examine how participants’ native music, in the context of CCMI, could evoke identity-based imagery and assess ethnic identity in a globalized context. Five cisgender Indian men and women from Hindu backgrounds participated in one CCMI session each, including an interview and follow up discussions. The qualitative methodology of portraiture (Lawrence-Lightfoot, 1997) was used in this study. The results reveal how CCMI can access the cultural and ethnic unconscious, a relatively new area of consciousness in Jungian and GIM paradigms. The study also shows how CCMI can highlight the fluid and multiple nature of ethnic identity, revealing its intersection with other identities such as gender, sexual orientation, caste and religion. In addition, the data support the use of contextual and identity-based music selections in assisting participants to explore, recreate or gain a deeper understanding of their ethnic identity through image and metaphor. Major findings include new categories of ethnic identity such as Aesthetic, Ancestral, Philosophical, Mythological, Spiritual and Core Indian identities. Subthemes include experiences of Rebirth, Disconnection, Unconscious Divide, as well as other socio-cultural identities such as Kaleidoscopic, World Citizen and Global Nomad. These and other themes relate to American, global, spiritual, queer, socio-economic, caste, gendered, and individual contexts. The research also suggests that this technique may be effective in emotionally and psychologically supporting adults who are going through the process of immigration or acculturation

Colorful worlds : the West German revue film of the 1950s

On the following pages you will meet a strange cast of characters: field slaves from Mississippi, steel bands from Trinidad, sheriffs from Puerto Rieo. Mexican campesinos and senioritas, and, of course, the European musical stars who performed these American stereotypes in one of the most disparaged genres of German cinema, the 1950s West German revue film

A study of the information needs of the users of a folk music library and the implications for the design of a digital library system

A qualitative study of user information needs is reported, based on a purposive sample of users and potential users of the Vaughan Williams Memorial Library, a small specialist folk music library in North London. The study set out to establish what the user’s (both existing and potential) information needs are, so that the library’s online service may take them into account with its design. The information needs framework proposed by Nicholas (2000) is used as an analytical tool to achieve this end. The demographics of the users were examined in order to establish four user groups: Performer, Academic, Professional and Enthusiast. Important information needs were found to be based on social interaction, and key resources of the library were its staff, the concentration of the collection and the library’s social nature. A collection of broad design requirements are proposed based on the analysis and this study also provided some insights into the issue of musical relevance, which are discussed